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4hBPF4nF27dpFIJFBBOYVCoVAo3h8l6BTDDiklu3fvprW1NZNiVYpOoVAoFIr3Q9XQKYYdJ06c4= OWXX/ZTrSpCp1AoFArF+2MAf/q8D0KhGMjBgwexLMufkqFK6BQKhUKhUCgUCoVCoVCc1/x/DGGD= ttd7zxYAAAAASUVORK5CYII=3D" width=3D"628" height=3D"887" alt=3D"" style=3D"= position:absolute" /></span><span class=3D"stl07">ISSN: </span><span class= =3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#fffff= f">2697-3391 </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Time= s New Roman Bold'; color:#ffffff"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 </span><= span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'; color:#= ffffff">=E2=80=93 </span><span class=3D"stl07">44, julio - agosto 2025 </sp= an><span class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl07">Revista en ciencias m=C3=A9dicas, salud = p=C3=BAblica </span><span class=3D"stl07"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl07">Art=C3=ADculo de revisi= =C3=B3n bibliogr=C3=A1fica </span><span class=3D"stl07"> </span></p><p= class=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl16">www.anato= miadigital.org </span><span class=3D"stl16"> </span></p><p class=3D"st= l01" style=3D"line-height:18pt"><span class=3D"stl08" style=3D"font-family:= 'AAFSER+Times New Roman Bold'; font-size:18pt">Eficacia del aceite esencial= </span><span class=3D"stl08" style=3D"font-family:'DAQVRC+Times New Roman = Bold Ita'; font-size:18pt">Eucalyptus globulus </span><span class=3D"stl08"= style=3D"font-family:'AAFSER+Times New Roman Bold'; font-size:18pt">de </s= pan><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold= '; font-size:18pt"> </span></p><p class=3D"stl01" style=3D"line-height= :18pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman B= old'; font-size:18pt">especies vegetales frente a </span><span class=3D"stl= 08" style=3D"font-family:'DAQVRC+Times New Roman Bold Ita'; font-size:18pt"= >Candida albicans </span><span class=3D"stl08" style=3D"font-family:'DAQVRC= +Times New Roman Bold Ita'; font-size:18pt"> </span></p><p class=3D"st= l01" style=3D"line-height:14pt"><span class=3D"stl08" style=3D"font-family:= 'FPLVOP+Times New Roman Italic'; font-size:14pt; color:#1f1f1f">Efficacy of= Eucalyptus globulus essential oil from a plant species against </span><spa= n class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; fon= t-size:14pt; color:#1f1f1f"> </span></p><p class=3D"stl01" style=3D"li= ne-height:14pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times Ne= w Roman Italic'; font-size:14pt; color:#1f1f1f">Candida albicans </span><sp= an class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; fo= nt-size:14pt; color:#1f1f1f"> </span></p><p class=3D"stl01" style=3D"l= ine-height:6.5pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times = New Roman Bold'; font-size:6.5pt">1</span></p><p class=3D"stl01" style=3D"l= ine-height:6.5pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times = New Roman Bold'; font-size:6.5pt">2</span></p><p class=3D"stl01" style=3D"l= ine-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'; font-size:10pt">Kelly Priscila Santell=C3=A1n Sanchim </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size= :10pt"> </span></p><p class=3D"stl01" style=3D"line-height:10pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:1= 0pt">https://orcid.org/0009-0001-9594-3065 </span><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></= p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">Universidad Cat= =C3=B3lica de Cuenca (UCACUE), Cuenca, Ecuador. </span><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </sp= an></p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">Unidad Acad= =C3=A9mica de Salud y Bienestar. Carrera de Odontolog=C3=ADa </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10p= t"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href= =3D"mailto:Keli8_santi@hotmail.com" target=3D"_blank" style=3D"text-decorat= ion:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'; font-size:10pt; color:#0563c1">Keli8_santi@hotmail.com </span><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt;= color:#0563c1"> </span></a></p><p class=3D"stl01" style=3D"line-heigh= t:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ; font-size:10pt">Katherine de los =C3=81ngeles Cuenca Le=C3=B3n </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size= :10pt"> </span></p><p class=3D"stl01" style=3D"line-height:10pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:1= 0pt">https://orcid.org/0000-0002-7816-0114 </span><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></= p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">Universidad Cat= =C3=B3lica de Cuenca (UCACUE), Cuenca, Ecuador. </span><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </sp= an></p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">Unidad Acad= =C3=A9mica de Salud y Bienestar. Carrera de Odontolog=C3=ADa </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10p= t"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href= =3D"mailto:kcuencal@ucacue.edu.ec" target=3D"_blank" style=3D"text-decorati= on:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '; font-size:10pt; color:#0563c1">kcuencal@ucacue.edu.ec </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt; c= olor:#0563c1"> </span></a></p><p class=3D"stl01" style=3D"line-height:= 10pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bo= ld'; font-size:10pt">Art=C3=ADculo de Investigaci=C3=B3n Cient=C3=ADfica y = Tecnol=C3=B3gica </span><span class=3D"stl08" style=3D"font-family:'AAFSER+= Times New Roman Bold'; font-size:10pt"> </span></p><p class=3D"stl01" = style=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'; font-size:10pt">Enviado: 11/05/2024 </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:10pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">R= evisado: 13/06/2025 </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'; font-size:10pt"> </span></p><p class=3D"stl01" st= yle=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'; font-size:10pt">Aceptado: 11/07/2025 </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:10pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">P= ublicado:28/07/2025 </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'; font-size:10pt"> </span></p><p class=3D"stl01" st= yle=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'; font-size:10pt">DOI: </span><a href=3D"https://doi.org/1= 0.33262/anatomiadigital.v8i3.2.3459" target=3D"_blank" style=3D"text-decora= tion:none"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Rom= an Bold'; font-size:10pt; color:#0563c1">https://doi.org/10.33262/anatomiad= igital.v8i3.2.3459 </span><span class=3D"stl08" style=3D"font-family:'AAFSE= R+Times New Roman Bold'; font-size:10pt; color:#0563c1"> </span></a></= p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">C=C3=ADtese: </sp= an><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; fon= t-size:10pt"> </span></p><p class=3D"stl01" style=3D"line-height:10pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-= size:10pt">Santell=C3=A1n Sanchim, K. P., & Cuenca Le=C3=B3n, K. de los= =C3=81ngeles. (2025). Eficacia del </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></p><p cl= ass=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'; font-size:10pt">aceite esencial Eucalypt= us globulus de especies vegetales frente a Candida albicans. </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10p= t"> </span></p><p class=3D"stl01" style=3D"line-height:10pt"><span cla= ss=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-siz= e:10pt">Anatom=C3=ADa </span><span class=3D"stl08" style=3D"font-family:'FP= LVOP+Times New Roman Italic'; font-size:10pt"> </span></p><p class=3D"= stl01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-famil= y:'FPLVOP+Times New Roman Italic'; font-size:10pt">Digital</span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">= , </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '; font-size:10pt"> </span></p><p class=3D"stl01" style=3D"line-height= :10pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman I= talic'; font-size:10pt; letter-spacing:0.05pt">8</span><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">(3.2), </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; fo= nt-size:10pt"> </span></p><p class=3D"stl01" style=3D"line-height:10pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font= -size:10pt">29-44. </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'; font-size:10pt"> </span></p><p class=3D"stl01" sty= le=3D"line-height:12pt"><a href=3D"https://doi.org/10.33262/anatomiadigital= .v8i3.2.3459" target=3D"_blank" style=3D"text-decoration:none"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt; c= olor:#0563c1">https://doi.org/10.33262/anatomiadigital.v8i3.2.3459 </span><= /a><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; fon= t-size:10pt">x </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'; font-size:10pt"> </span></p><p class=3D"stl01" style= =3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'; font-size:8pt">ANATOM=C3=8DA DIGITAL, es una Revista Electr= =C3=B3nica, Trimestral, que se publicar=C3=A1 en soporte electr=C3=B3nico <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; = font-size:8pt"> </span></p><p class=3D"stl01" style=3D"line-height:8pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font= -size:8pt">tiene como misi=C3=B3n contribuir a la</span><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt"> </sp= an><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; fon= t-size:8pt">formaci=C3=B3n de profesionales competentes con visi=C3=B3n hum= an=C3=ADstica y cr=C3=ADtica </span><span class=3D"stl08" style=3D"font-fam= ily:'MVNSWI+Times New Roman'; font-size:8pt"> </span></p><p class=3D"s= tl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'; font-size:8pt">que sean capaces de</span><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt"= > </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'; font-size:8pt">exponer sus resultados investigativos y cient=C3=ADf= icos en la misma medida que se </span><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'; font-size:8pt"> </span></p><p class=3D= "stl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'; font-size:8pt">promueva mediante su intervenci= =C3=B3n cambios positivos en la sociedad. </span><a href=3D"https://anatomi= adigital.org/" target=3D"_blank" style=3D"text-decoration:none"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; co= lor:#0563c1">https://anatomiadigital.org </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c1">&#x= a0;</span></a></p><p class=3D"stl01" style=3D"line-height:8pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt">La= revista es editada por la Editorial Ciencia Digital (Editorial de prestigi= o registrada en la C=C3=A1mara </span><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'; font-size:8pt"> </span></p><p class=3D= "stl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'; font-size:8pt">Ecuatoriana de Libro con No de A= filiaci=C3=B3n 663</span><a href=3D"http://www.celibro.org.ec/" target=3D"_= blank" style=3D"text-decoration:none"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'; font-size:8pt; color:#000000">) </span></a>= <a href=3D"http://www.celibro.org.ec/" target=3D"_blank" style=3D"text-deco= ration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'; font-size:8pt; color:#0563c1">www.celibro.org.ec </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; co= lor:#0563c1"> </span></a></p><p class=3D"stl01" style=3D"line-height:8= pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; fo= nt-size:8pt">Esta revista est=C3=A1 protegida bajo una licencia Creative Co= mmons Atribuci=C3=B3n-NoComercial-CompartirIgual </span><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt"> </sp= an></p><p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt">4.0 Internatio= nal. 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7I0BBbgZ98sNcOKqE0uIMckLQvyiHmZ+ZTOmAAbTUN7vK6mPKXU3TMAwD0zT99KthGCeMb7uMCv= OaE5K2IGY5bN6xH80wiLTGSUUdnHiU0pK+HK9tYvKFk5B2J0Kk6Nc/i0h7Eyk7RjAjg937DtHYZ= lG59xhvVR5h9IghGARJRiWTJ11ANGZhaAIhbHSt1+r5d0UIQVNTExUVFaoBQqFQKBQKennK1TUn= SUeuhMCd+eAmVoVnu5Hewit08+SJZ0Vi+AFIbwCYt0F6C0eiCx0nHQ3UdJ38wjyk5aSjZp8sJ/e= XSgSC1vYONm7dxoUTRjOoXwlZGRqR5hDxDpvsoElOWBLNNOlfGMboiDJ2SAljh/RFCJ1X6SQ3w0= IzDEKGoO6d4wS1BEX980h0dpA3IBtN2mjpK3mmkUgkWLduHZZlpadeqAidQqFQKM5terWg07ABC= 4mGg4GTrpED0NzCKbdmyt9DnvgjBMJXet5ewpvqmt5aQycLxwFHdxsRbCHRdA00G0dYaOL0ix4p= JJbt4EiHgtxMygbncPRIPaOGFQOC0gE55BXl0RkrJIBOlhkg0hahb1YYgCWXzyAzLx/dNGhqaqB= /cT4jywqR0qCoKAtDd9xr46TT1GeWawnbtm3jnXfewUl3I3tpdoVCoVAozlV6taBzb9QGrsGG8G= /bXsIVrbtcO/HIcf8W6TWkv0e3W78ENE139Yy7HDoCt+/CNfX9pMWc1uMngcQUMKggi7kXjWbP5= tdJNZYy+aKLyM/LdevupKvFirJCaNKNW+bnhNz9BYweOQyZFq8lBVmAjRBGelRaOm3d9WL0cjHn= OK5kl1JSV1fL66+vT9fNnVm1fwqFQqFQfFKcAYLOEzo9EOJUz3bZr+u2p/zR66/g5JXea+1PFik= lphDomuCzn7mQS6dNAvAbKLxj9s8wfZii2zl2laEnruFJp9TLhZyHlBJNcztyd+7cRTQae/+dFA= qFQqE4h1C5ql5GT9sNL63oNSP34qbkTwxNEziOQ3V1Nbt37+mSalUoFAqFQgFK0PU6vLFWgD9Sz= DMcPpfp7Iyxc+cuIpHIp30oCoVCoVD0Onp5yvXcw4vMeT51XrTOT7meA92cnhWJm2rVkBL2799P= VVXVp31oCoVCoVD0SpSg62WIbr503QXeuULXtLOUktbWVjZs2EAqlQLoZsisUCgUCoVCpVwVvZC= uaWfbttmyZQtHjx5F0zQl5hQKhUKhOAXq7qjolei67jdCbN++HdM0kVKqhgiFQqFQKE6BSrkqei= VSShKJBG+99ZZvU9IzHa1QKBQKhcJFRegUvQ4v5bpv3z727t2ronIKhUKhULwPStApeh1CCGKxG= Fu2bCEej6OCcgqFQqFQvDdK0Cl6HVJKtm7dSm1tbTrFqhSdQqFQKBTvhaqhU/Q6jh07xksvveSn= WlWETqFQKBSK98YAnvm0D0Kh6MqePXuwLMufkqFK6BQKhUKhUCgUCoVCoVCc1fx/Hk+wzs6Kehk= AAAAASUVORK5CYII=3D" width=3D"628" height=3D"887" alt=3D"" style=3D"positio= n:absolute" /></span><span class=3D"stl07">ISSN: </span><span class=3D"stl0= 8" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#ffffff">2697-= 3391 </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Ro= man Bold'; color:#ffffff"> </span></p><p class=3D"stl01" style=3D"line= -height:12pt"><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 </span><span cla= ss=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'; color:#ffffff">= =E2=80=93 </span><span class=3D"stl07">44, julio - agosto 2025 </span><span= class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl07">Revista en ciencias m=C3=A9dicas, salud p=C3=BAb= lica </span><span class=3D"stl07"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl07">Art=C3=ADculo de revisi=C3=B3n = bibliogr=C3=A1fica </span><span class=3D"stl07"> </span></p><p class= =3D"stl01" style=3D"line-height:11pt"><span class=3D"stl16">www.anatomiadig= ital.org </span><span class=3D"stl16"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'AAFSE= R+Times New Roman Bold'">Palabras claves: </span><span class=3D"stl08" styl= e=3D"font-family:'AAFSER+Times New Roman Bold'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'AAFSER+Times New Roman Bold'; color:#767171">Resumen </span><span cl= ass=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#76= 7171"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'">Candi= da albicans; </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Time= s New Roman Italic'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman= Italic'">Eucalyptus globulus</span><span class=3D"stl08" style=3D"font-fam= ily:'MVNSWI+Times New Roman'">; </span><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">eficacia; conducto </span><span class=3D"stl08" style=3D"fo= nt-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" sty= le=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'">radicular; fitoterapia </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'A= AFSER+Times New Roman Bold'">Introducci=C3=B3n </span><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">En el campo odontol=C3=B3gi= co en el =C3=A1rea de </span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-he= ight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'">Endodoncia la presencia de microorganismos, especialmente </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'FPLVOP+Times New Roman Italic'">Candida albicans </spa= n><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">en l= esiones periapicales, limita el =C3=A9xito del </span><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'">tratamiento, aunque se utilizan irrigantes = como el hipoclorito </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '">de sodio (NaClO), y el hidr=C3=B3xido de calcio como medicaci=C3=B3n </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'">intrarradicular, no = siempre son efectivos, por ello la necesidad </span><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"= stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'">de desarrollar estudios que conlleven otras opc= iones menos </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">invas= ivas que los antimic=C3=B3ticos convencionales. </span><span class=3D"stl08= " style=3D"font-family:'AAFSER+Times New Roman Bold'">Objetivo. </span><spa= n class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'"> = ;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'">Determinar la eficacia = del aceite esencial </span><span class=3D"stl08" style=3D"font-family:'FPLV= OP+Times New Roman Italic'">Eucalyptus gl=C3=B3bulos </span><span class=3D"= stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'"> </span><= /p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'">frente a </span><span class=3D"s= tl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'">Candida albican= s </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '">(ATCC 60193). </span><span class=3D"stl08" style=3D"font-family:'AAFSER+= Times New Roman Bold'">Metodolog=C3=ADa. </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">Se </span><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"= stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'">trat=C3=B3 de un estudio laboratorial, de corte= longitudinal, en el que </span><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line= -height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'">se inocul=C3=B3 la cepa </span><span class=3D"stl08" style=3D"font-= family:'FPLVOP+Times New Roman Italic'">Candida albicans </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">ATCC 60193, an=C3= =A1lisis por </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">trip= licado, se trabaj=C3=B3 con varios subgrupos de exposici=C3=B3n: </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">proporciones de aceite esen= cial de </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New= Roman Italic'">Eucalyptus globulus </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">(50%, </span><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"st= l01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'">75%, 100%) y para el grupo control se utiliz=C3= =B3 fluconazol </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12= pt"><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'">in= yectable de 2=EA=A2=80mg/mL (control positivo) y agua purificada </span><sp= an class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">(control negativo), a un pe= riodo de incubaci=C3=B3n 25=C2=BA C, a 72 </span><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl= 01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'">horas, los resultados se observaron mediante la in= specci=C3=B3n </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12p= t"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">vis= ual, se midi=C3=B3 en mil=C3=ADmetros el tama=C3=B1o de las =C3=A1reas dond= e se </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">detuvo el cr= ecimiento de </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Time= s New Roman Italic'">Candida albicans. </span><span class=3D"stl08" style= =3D"font-family:'AAFSER+Times New Roman Bold'">Resultados. </span><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">La </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">disoluci=C3=B3n al 75% mostr= =C3=B3 el mayor halo de inhibici=C3=B3n, pero con </span><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p clas= s=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'">una gran variabilidad en los datos, a dife= rencia del 100% que </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '">tiene un efecto inhibitorio menor que el 75% pero con menor </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">variabilidad y una diferencia= estad=C3=ADsticamente significativa, la </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'">disoluci=C3=B3n al 50% tiene el menor efecto inhibi= torio. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><spa= n class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'">Concl= usi=C3=B3n. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'">Este estudio resalta la variabilidad en el efecto </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">antif=C3=BAngico del aceite e= sencial </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New= Roman Italic'">Eucalyptus gl=C3=B3bulus </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">en la </span><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'">detenci=C3=B3n del crecimiento de </span><s= pan class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'">C= andida albicans </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'">estos hallazgos </span><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">subrayan la importancia de profundizar en la investigaci=C3= =B3n. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'">=C3=81= rea de estudio general: </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'">Ciencias de la salud </span><span class=3D"stl08" = style=3D"font-family:'AAFSER+Times New Roman Bold'">=C3=81rea de </span><sp= an class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"s= tl08" style=3D"font-family:'AAFSER+Times New Roman Bold'">estudio espec=C3= =ADfica: </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'">Odontolog=C3=ADa </span><span class=3D"stl08" style=3D"font-famil= y:'AAFSER+Times New Roman Bold'">Tipo de estudio: </span><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'">Art=C3=ADculo </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">Original. </span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'AAFSER+Times New Roman Bold'">Keywords: </span><span class= =3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'"> </span= ></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" st= yle=3D"font-family:'AAFSER+Times New Roman Bold'; color:#767171">Abstract <= /span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bo= ld'; color:#767171"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman = Italic'">Candida albicans; </span><span class=3D"stl08" style=3D"font-famil= y:'FPLVOP+Times New Roman Italic'"> </span></p><p class=3D"stl01" styl= e=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+T= imes New Roman Italic'">Eucalyptus </span><span class=3D"stl08" style=3D"fo= nt-family:'FPLVOP+Times New Roman Italic'"> </span></p><p class=3D"stl= 01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'= FPLVOP+Times New Roman Italic'">globulus</span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">; efficacy; </span><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p = class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">root canal; </span><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'AAFSER+Times New Roman Bold'">Introduction. </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'">In the dental field in = endodontics, the presence </span><span class=3D"stl08" style=3D"font-family= :'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"lin= e-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'">of microorganisms, especially Candida albicans in periapical </spa= n><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'">lesions, limits the su= ccess of treatment, although irrigants such </span><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"s= tl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family= :'MVNSWI+Times New Roman'">as sodium hypochlorite (NaClO) and calcium hydro= xide are </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">used as = intraradicular medication, they are not always effective, </span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">Phytotherapy </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D= "font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">Esta revista e= st=C3=A1 protegida bajo una licencia Creative Commons en la 4.0 </span><spa= n class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; fon= t-size:8pt"> </span></p><p class=3D"stl01" style=3D"line-height:8pt"><= span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; = font-size:8pt">International. Copia de la licencia: </span><span class=3D"s= tl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"h= ttp://creativecommons.org/licenses/by-nc-sa/4.0/" target=3D"_blank" style= =3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'; font-size:8pt; color:#0563c1">http://creativecommons.or= g/licenses/by-nc-sa/4.0/ </span><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c1"> </span></a></= p><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl14" style= =3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; co= lor:#ffffff">M a n e j o</span><span class=3D"stl14" style=3D"font-family:'= MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff"> = 0;</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-= size:11pt; letter-spacing:normal; color:#ffffff">C l =C3=AD n i c o </span>= <span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt= ; letter-spacing:normal; color:#ffffff"> </span></p><p class=3D"stl01"= style=3D"line-height:11pt"><span class=3D"stl14" style=3D"font-family:'MSS= KVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">P =C3= =A1 g i n a</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibr= i'; font-size:11pt; letter-spacing:normal; color:#ffffff"> </span><spa= n class=3D"stl47" style=3D"letter-spacing:0.05pt">30 | 44 </span><span clas= s=3D"stl47" style=3D"letter-spacing:0.05pt"> </span></p><p style=3D"li= ne-height:12pt"><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0= /" target=3D"_blank" style=3D"text-decoration:none"><img src=3D"data:image/= png;base64,iVBORw0KGgoAAAANSUhEUgAAAnQAAANkCAYAAAA+yLfgAAAABHNCSVQICAgIfAhk= iAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACFlJREFUeJztwTEBAAAAwqD1T20ND6AAAAAAAAAAAAA= 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mily:'LVJFBB+Times New Roman'; color:#ffffff">=E2=80=93 </span><span class= =3D"stl07">44, julio - agosto 2025 </span><span class=3D"stl07"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">R= evista en ciencias m=C3=A9dicas, salud p=C3=BAblica </span><span class=3D"s= tl07"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl07">Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica </span><s= pan class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:11pt"><span class=3D"stl16">www.anatomiadigital.org </span><span class=3D= "stl16"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">thus the n= eed to develop studies that involve other less invasive </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">options than conventional antifun= gal agents. </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times= New Roman Bold'">Objective. </span><span class=3D"stl08" style=3D"font-fam= ily:'MVNSWI+Times New Roman'">To </span><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">determine the efficacy of Eucalyptus globulus essential oil= </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= "> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">against Candida = albicans (ATCC 60193). </span><span class=3D"stl08" style=3D"font-family:'A= AFSER+Times New Roman Bold'">Methodology. </span><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'">This </span><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'">was a longitudinal laboratory study in whic= h the Candida </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12p= t"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">alb= icans ATCC 60193 strain was inoculated and analyzed in </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">triplicate, working with several = exposure subgroups: </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '">proportions of essential oil of Eucalyptus globulus (50%, 75%, </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">100%) and for the control = group injectable fluconazole 2 </span><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">mg/mL (positive control) and purified water (negative contr= ol) </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">were used, at= an incubation period of 25=C2=BA C, at 72 hours, the </span><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p = class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">results were observed by visual inspec= tion, the size of the areas </span><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"l= ine-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'">where the growth of Candida albicans was stopped was </span><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </sp= an></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'">measured in millimeters. </s= pan><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold= '">Results. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'">The 75% solution showed </span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'">the greatest inhibition halo, but with a great variabil= ity in the </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt">= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">data, = in contrast to 100% which has a lower inhibitory effect </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">than 75% but with less variabilit= y and a statistically significant </span><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" styl= e=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'">difference, the 50% solution has the lowest inhibitory eff= ect. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'">Conclus= ion. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'">This study highlights the variability in the </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'">antifungal effect of Eucalyptus globulus = essential oil in </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">= arresting the growth of Candida albicans, these findings </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">underline the importance of furth= er research. </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Time= s New Roman Bold'">General field of </span><span class=3D"stl08" style=3D"f= ont-family:'AAFSER+Times New Roman Bold'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'A= AFSER+Times New Roman Bold'">study: </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">Health sciences. </span><span class=3D= "stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'">Specific field = of study: </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'">Dentistry. </span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-he= ight:12pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Rom= an Bold'">Type of study: </span><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'">Original article. </span><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"s= tl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family= :'AAFSER+Times New Roman Bold'; color:#767171">1. Introducci=C3=B3n </span>= <span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; c= olor:#767171"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Desd= e tiempos antiguos las plantas han sido utilizadas para tratar diversas enf= ermedades. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt">= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">En la = actualidad, la medicina a base de plantas tambi=C3=A9n conocida como fitote= rapia </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">contin=C3= =BAa teniendo un papel fundamental en muchas culturas, especialmente en aqu= ellas </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">con una est= recha relaci=C3=B3n con la naturaleza. A pesar de los avances en odontolog= =C3=ADa, como </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12p= t"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">el = desarrollo de nuevos medicamentos y t=C3=A9cnicas modernas, el uso de plant= as medicinales </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12= pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">pe= rsiste como una opci=C3=B3n complementaria y =C3=BAtil en este campo (1). <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">En los =C3=BAltim= os a=C3=B1os, el inter=C3=A9s por los remedios naturales ha crecido, en par= te debido a </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">los e= fectos secundarios asociados a medicamentos convencionales. En zonas rurale= s, se </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">estima que = el 80% de la poblaci=C3=B3n en pa=C3=ADses en desarrollo emplea plantas aro= m=C3=A1ticas </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:8pt"= ><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'= ; font-size:8pt">Esta revista est=C3=A1 protegida bajo una licencia Creativ= e Commons en la 4.0 </span><span class=3D"stl08" style=3D"font-family:'FPLV= OP+Times New Roman Italic'; font-size:8pt"> </span></p><p class=3D"stl= 01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:'F= PLVOP+Times New Roman Italic'; font-size:8pt">International. Copia de la li= cencia: </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New= Roman Italic'; font-size:8pt"> </span></p><p class=3D"stl01" style=3D= "line-height:12pt"><a href=3D"http://creativecommons.org/licenses/by-nc-sa/= 4.0/" target=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; color:#0563= c1">http://creativecommons.org/licenses/by-nc-sa/4.0/ </span><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; color= :#0563c1"> </span></a></p><p class=3D"stl01" style=3D"line-height:11pt= "><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11= pt; letter-spacing:normal; color:#ffffff">M a n e j o</span><span class=3D"= stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacin= g:normal; color:#ffffff"> </span><span class=3D"stl14" style=3D"font-f= amily:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#fffff= 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ciencias m=C3=A9dicas, salud p=C3=BAblica </span><span class=3D"stl07= "> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span clas= s=3D"stl07">Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica </span><span = class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-height:11= pt"><span class=3D"stl16">www.anatomiadigital.org </span><span class=3D"stl= 16"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">como parte de = su atenci=C3=B3n primaria en salud. Entre estas, el eucalipto ha demostrado= </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= "> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">propiedades anti= microbianas, lo que ha incentivado su aplicaci=C3=B3n cl=C3=ADnica (2) (3).= </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= "> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Uno de los desaf= =C3=ADos m=C3=A1s relevantes en salud p=C3=BAblica es la resistencia antimi= crobiana, que </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12p= t"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">imp= ide que los medicamentos act=C3=BAen eficazmente contra determinadas bacter= ias y </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">hongos. Est= o ha generado un aumento en las infecciones causadas por microorganismos </= span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">como el hongo Can= dida, responsable de enfermedades dif=C3=ADciles de tratar y que puede </sp= an><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#x= a0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"= stl08" style=3D"font-family:'MVNSWI+Times New Roman'">permanecer en lesione= s perirradiculares (4). </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'">La actividad microbiana forma parte del origen de las afecciones pul= pares y periapicales </span><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'">promoviendo la necrosis pulpar y procesos inflamatorios en los conducto= s radiculares, los </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ">cuales suelen ser causados por una combinaci=C3=B3n de microorganismos (5= ). Las infecciones </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ">endod=C3=B3nticas polimicrobianas suelen incluir Candida albicans, la lev= adura m=C3=A1s </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12= pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">co= m=C3=BAnmente aislada en el sistema de conductos radiculares (6). </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">Esta levadura, con una pre= valencia reportada entre el 6% y el 55%, ha sido hallada en </span><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span><= /p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'">pulpas necr=C3=B3ticas y se asoc= ia frecuentemente con infecciones persistentes que no </span><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p = class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">responden al tratamiento convencional = (7) (8). Su resistencia se debe en parte a su </span><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D= "stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'">capacidad para permanecer tras la instrumentac= i=C3=B3n mec=C3=A1nica y la irrigaci=C3=B3n, debido a la </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">complejidad anat=C3=B3mica de los= t=C3=BAbulos dentinarios, conductos laterales y ramificaciones </span><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </sp= an></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'">apicales (9) (10). </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">La presencia de Candida al= bicans en el 7-18% de las infecciones endod=C3=B3nticas est=C3=A1 </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">relacionada con su capacid= ad de formar hifas y adaptarse a medios alcalinos mediante el </span><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span= ></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'">tigmotropismo, lo que le permi= te penetrar en los t=C3=BAbulos dentinarios y persistir en los </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">conductos infectados (9) (11)= (12). </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Para una l= impieza eficaz del sistema de conductos radiculares, las soluciones de irri= gaci=C3=B3n </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">deben= poseer propiedades antimicrobianas, biocompatibilidad y capacidad de disol= ver </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">tejido. El hi= poclorito de sodio, ampliamente utilizado por su acci=C3=B3n desinfectante,= sigue </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">siendo una= de las principales sustancias empleadas en endodoncia (5) (13) (14). </spa= n><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'">Los medicamentos intra= conducto que incluyen tanto las soluciones irrigantes como la </span><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span= ></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'">medicaci=C3=B3n intracanal, so= n fundamentales para la desinfecci=C3=B3n del sistema de conductos </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> <= /span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'">antes de la obturaci=C3= =B3n. Su aplicaci=C3=B3n adecuada incrementa significativamente las </span>= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'">probabilidades de =C3=A9= xito del tratamiento endod=C3=B3ntico (2) (15). </span><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'">El fracaso en este tipo de tratamiento suel= e estar relacionado con la persistencia de </span><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"st= l01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'">microorganismos como Candida albicans, que puede = resistir los desinfectantes habituales </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'">y, por tanto, comprometer el resultado cl=C3=ADnico= (2) (16) (17). </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">E= l procedimiento endod=C3=B3ntico se centra en limpiar y desinfectar los con= ductos radiculares </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ">con limas y soluciones irrigantes, para finalizar con la obturaci=C3=B3n.= Sin embargo, dada la </span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-he= ight:8pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roma= n Italic'; font-size:8pt">Esta revista est=C3=A1 protegida bajo una licenci= a Creative Commons en la 4.0 </span><span class=3D"stl08" style=3D"font-fam= ily:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-= family:'FPLVOP+Times New Roman Italic'; font-size:8pt">International. Copia= de la licencia: </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+= Times New Roman Italic'; font-size:8pt"> </span></p><p class=3D"stl01"= style=3D"line-height:12pt"><a href=3D"http://creativecommons.org/licenses/= by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:none"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; co= lor:#0563c1">http://creativecommons.org/licenses/by-nc-sa/4.0/ </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8= pt; color:#0563c1"> </span></a></p><p class=3D"stl01" style=3D"line-he= ight:11pt"><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; fon= t-size:11pt; letter-spacing:normal; color:#ffffff">M a n e j o</span><span = class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; lett= er-spacing:normal; color:#ffffff"> </span><span class=3D"stl14" style= =3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; co= lor:#ffffff">C l =C3=AD n i c o </span><span class=3D"stl14" style=3D"font-= family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffff= ff"> </span></p><p class=3D"stl01" style=3D"line-height:11pt"><span cl= ass=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter= -spacing:normal; color:#ffffff">P =C3=A1 g i n a</span><span class=3D"stl14= " style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:nor= mal; color:#ffffff"> </span><span class=3D"stl47" style=3D"letter-spac= ing:0.05pt">32 | 44 </span><span class=3D"stl47" style=3D"letter-spacing:0.= 05pt"> </span></p><p style=3D"line-height:12pt"><a href=3D"http://crea= tivecommons.org/licenses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-dec= oration:none"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAnQ= AAANkCAYAAAA+yLfgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACFlJRE= FUeJztwTEBAAAAwqD1T20ND6AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= 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m1q9fTzKZBOhkyKxQKBQKhUKlXBXdkI5pZ9u22bx5M0eOHEHTNCXmFAqFQqE4AeruqOiW6LruN0= Js27YN0zSRUqqGCIVCoVAoToBKuSq6JVJK4vE4b731lm9T0jUdrVAoFAqFwkVF6BTdDi/lunfvX= vbs2aOicgqFQqFQfABK0Cm6HUIIotEomzdvJhaLoYJyCoVCoVC8P0rQKbodUkq2bNlCVVVVKsWq= FJ1CoVAoFO+HqqFTdDuOHj3Kiy++6KdaVYROoVAoFIr3xwCe/rwPQqHoyO7du7Esy5+SoUroFAq= FQqFQKBQKhUKhUJzW/H/6JmLh28DoGgAAAABJRU5ErkJggg=3D=3D" width=3D"628" height= =3D"887" alt=3D"" style=3D"position:absolute" /></span><span class=3D"stl07= ">ISSN: </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New= Roman Bold'; color:#ffffff">2697-3391 </span><span class=3D"stl08" style= =3D"font-family:'AAFSER+Times New Roman Bold'; color:#ffffff"> </span>= </p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">Vol= . 8 No. 3.2, pp. 29 </span><span class=3D"stl08" style=3D"font-family:'LVJF= BB+Times New Roman'; color:#ffffff">=E2=80=93 </span><span class=3D"stl07">= 44, julio - agosto 2025 </span><span class=3D"stl07"> </span></p><p cl= ass=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">Revista en c= iencias m=C3=A9dicas, salud p=C3=BAblica </span><span class=3D"stl07"> = ;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"st= l07">Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica </span><span class= =3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-height:11pt"><= span class=3D"stl16">www.anatomiadigital.org </span><span class=3D"stl16">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">compleja anatom= =C3=ADa del sistema de conductos, algunos microorganismos pueden </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">sobrevivir y causar infecci= ones persistentes. Del g=C3=A9nero Candida, las levaduras presentan </span>= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'">factores que incrementan= su capacidad de resistir el tratamiento y pueden extenderse a los </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> <= /span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'">tejidos periodontales (15= ). </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Pese a los m= =C3=A9todos tradicionales de desinfecci=C3=B3n como la instrumentaci=C3=B3n= , irrigaci=C3=B3n y el </span><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-h= eight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'">uso de medicamentos intracanal, Candida albicans suele persistir en t= ratamientos fallidos. </span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-he= ight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'">Ante esta situaci=C3=B3n, se han explorado alternativas como la fitote= rapia, basada en </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">= componentes naturales con acci=C3=B3n antimicrobiana, y la terapia fotodin= =C3=A1mica, que combina </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'">luz y fotosensibilizadores para mejorar la eliminaci=C3=B3n microbia= na en las lesiones </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ">periapicales (18). </span><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'">Actualmente, numerosos estudios se centran en el uso m=C3=A9dico de sus= tancias </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">fitoterap= =C3=A9uticas. Desde tiempos remotos, los extractos de plantas se han emplea= do por sus </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt">= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">m=C3= =BAltiples propiedades terap=C3=A9uticas (1). Dentro de estos productos nat= urales, los aceites </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '">esenciales derivados de una gran variedad de plantas y hierbas destacan = por su potente </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12= pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">ac= ci=C3=B3n antif=C3=BAngica, lo que los convierte en alternativas eficaces (= 13) (19). </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Particu= larmente, el extracto esencial de Eucalyptus globulus ha sido considerablem= ente </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">investigado = por sus propiedades medicinales y farmacol=C3=B3gicas, incluyendo efectos <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">antiinflamatorios= , antimicrobianos, antioxidantes, antihistam=C3=ADnicos y antis=C3=A9pticos= . Estas </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">cualidade= s lo convierten en un candidato prometedor para su aplicaci=C3=B3n en odont= olog=C3=ADa </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">(13) = (19). </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">La resisten= cia al hidr=C3=B3xido de calcio, com=C3=BAnmente utilizado en endodoncia, p= ermite la </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">persist= encia de hongos como Candida albicans debido a su capacidad de sobrevivir e= n </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">ambientes altam= ente alcalinos (10) (12). En contraste los aceites concentrados de planta <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">y sus principios = activos contienen un espectro amplio antimicrobiano, lo que respalda su </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'">estudio dentro de la= medicina tradicional</span><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'"> </span><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'">(10) (20). </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'">Por ello, el objetivo principal de este estudio fue= determinar la eficacia del aceite esencial </span><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"s= tl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family= :'MVNSWI+Times New Roman'">de Eucalyptus globulus frente a Candida albicans= ATCC (60193), Cuenca 2024 </span><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"li= ne-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'">evaluando su viabilidad como una alternativa innovadora y segura = para la irrigaci=C3=B3n </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'">intracanal. Se busca determinar si este aceite puede ser m=C3=A1s ef= icaz que los materiales </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'">convencionales en la erradicaci=C3=B3n de Candida albicans asociada = a periodontitis apical, </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'">contribuyendo as=C3=AD al desarrollo de nuevas estrategias terap=C3= =A9uticas en la endodoncia </span><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"li= ne-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'">moderna. </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman = Bold'; color:#767171">2. Metodolog=C3=ADa </span><span class=3D"stl08" styl= e=3D"font-family:'AAFSER+Times New Roman Bold'; color:#767171"> </span= ></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'">Se trat=C3=B3 de un estudio la= boratorial de corte longitudinal, desarrollado en laboratorios del </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> <= /span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'">Centro de Investigaci=C3= =B3n, Innovaci=C3=B3n y Transferencia de Tecnolog=C3=ADa (CIITT) de la </sp= an><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#x= a0;</span></p><p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"s= tl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">= Esta revista est=C3=A1 protegida bajo una licencia Creative Commons en la 4= .0 </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roma= n Italic'; font-size:8pt"> </span></p><p class=3D"stl01" style=3D"line= -height:8pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New R= oman Italic'; font-size:8pt">International. Copia de la licencia: </span><s= pan class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; f= ont-size:8pt"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" target=3D"_= blank" style=3D"text-decoration:none"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c1">http://creati= vecommons.org/licenses/by-nc-sa/4.0/ </span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c1"> <= /span></a></p><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D"= stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacin= g:normal; color:#ffffff">M a n e j o</span><span class=3D"stl14" style=3D"f= ont-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#= ffffff"> </span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Cal= ibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">C l =C3=AD n i= c o </span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; fo= nt-size:11pt; letter-spacing:normal; color:#ffffff"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl14" style=3D"font= -family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#fff= fff">P =C3=A1 g i n a</span><span class=3D"stl14" style=3D"font-family:'MSS= KVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff"> <= /span><span class=3D"stl47" style=3D"letter-spacing:0.05pt">33 | 44 </span>= <span class=3D"stl47" style=3D"letter-spacing:0.05pt"> </span></p><p s= tyle=3D"line-height:12pt"><a href=3D"http://creativecommons.org/licenses/by= -nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:none"><img src=3D"d= ata:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAnQAAANkCAYAAAA+yLfgAAAABHNCSV= QICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACFlJREFUeJztwTEBAAAAwqD1T20ND6AAA= 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69etJJpMAnQyZFQqFQqFQqJSrohvSMe1s2zabN2/myJEjaJqmxJxCoVAoFCdAXR0V3RJd1/1GiG= 3btmGaJlJK1RChUCgUCsUJUClXRbdESkk8Huett97ybUq6pqMVCoVCoVC4qAidotvhpVz37t3Ln= j17VFROoVAoFIoPQAk6RbdDCEE0GmXz5s3EYjFUUE6hUCgUivdHCTpFt0NKyZYtW6iqqkqlWJWi= UygUCoXi/VA1dIpux9GjR3nxxRf9VKuK0CkUCoVC8f4YwNOf90EoFB3ZvXs3lmX5UzJUCZ1CoVA= oFAqFQqFQKBSK05r/DwUuV+Bq78V6AAAAAElFTkSuQmCC" width=3D"628" height=3D"887"= alt=3D"" style=3D"position:absolute" /></span><span class=3D"stl07">ISSN: = </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman B= old'; color:#ffffff">2697-3391 </span><span class=3D"stl08" style=3D"font-f= amily:'AAFSER+Times New Roman Bold'; color:#ffffff"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">Vol. 8 No. 3.= 2, pp. 29 </span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times N= ew Roman'; color:#ffffff">=E2=80=93 </span><span class=3D"stl07">44, julio = - agosto 2025 </span><span class=3D"stl07"> </span></p><p class=3D"stl= 01" style=3D"line-height:12pt"><span class=3D"stl07">Revista en ciencias m= =C3=A9dicas, salud p=C3=BAblica </span><span class=3D"stl07"> </span><= /p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">Art= =C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica </span><span class=3D"stl07"= > </span></p><p class=3D"stl01" style=3D"line-height:11pt"><span class= =3D"stl16">www.anatomiadigital.org </span><span class=3D"stl16"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">Universidad Cat=C3=B3lica de = Cuenca. La muestra utilizada fue una cepa ATCC 60193, cuya </span><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></= p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">manipulaci=C3=B3n no implica ni e= st=C3=A1 sujeta a riesgos en seres humanos. </span><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"s= tl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family= :'FPLVOP+Times New Roman Italic'">Criterios de inclusi=C3=B3n: </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">para este e= studio se incluyeron el aceite esencial de Eucalyptus </span><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p = class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">globulus y la cepa Candida albicans AT= CC 60193. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><= span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'">= Criterios de exclusi=C3=B3n: </span><span class=3D"stl08" style=3D"font-fam= ily:'MVNSWI+Times New Roman'">no se consideraron otros tipos de aceites ese= nciales ni cepas </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">= sensibles de Candida albicans. Tampoco se incluyeron variables adicionales.= Se aplicaron </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12p= t"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">cri= terios de selecci=C3=B3n espec=C3=ADficos y se siguieron procedimientos exp= erimentales con </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">r= igurosidad para garantizar la calidad y confiabilidad de los resultados. </= span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'">Objetivos = de investigaci=C3=B3n: </span><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'">determinar la eficacia del aceite esencial de Eucal= yptus </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">globulus fr= ente a Candida albicans ATCC (60193), Cuenca 2024. </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font= -family:'FPLVOP+Times New Roman Italic'">Dise=C3=B1o Cuantitativo - Enfoque= experimental o cuasi-experimental: </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">se evalu=C3=B3 la capacidad </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">de inhibici=C3=B3n del acei= te esencial de Eucalyptus globulus a concentraciones variadas sobre </span>= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'">la cepa Candida albicans= (ATCC 60193). Los halos de inhibici=C3=B3n generados por el aceite </span>= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'">al 50%, 75% y 100%, tras= 48</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roma= n'">=E2=80=93</span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'">72 horas, se compararon con los del control positivo </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> <= /span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl0= 8" style=3D"font-family:'LVJFBB+Times New Roman'">(fluconazol inyectable a = 2=EA=A2=80mg/mL) y el control negativo (agua destilada H=E2=82=82O) (21) (2= 2). </span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'">An=C3= =A1lisis de datos: </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'">Se emple=C3=B3 el software SPSS versi=C3=B3n 24 para re= alizar el procesamiento </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'">estad=C3=ADstico de los datos recolectados, asegurando un an=C3=A1li= sis riguroso y confiable. Dado </span><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">que la muestra fue peque=C3=B1a y present=C3=B3 una distrib= uci=C3=B3n asim=C3=A9trica, se utiliz=C3=B3 la prueba de </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">Kolmogorov-Smirnov para comprobar= la normalidad de los datos y definir la idoneidad </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'">del uso de pruebas no param=C3=A9tricas. = Posteriormente, se us=C3=B3 la prueba de Kruskal-Wallis </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">para comparar las diferencias ent= re los grupos investigados, ya que esta permite analizar </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">variables continuas sin asumir no= rmalidad. Adem=C3=A1s, se obtuvieron medidas de tendencia </span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">central y dispersi=C3=B3n, como l= a mediana y el rango intercuart=C3=ADlico, para una interpretaci=C3=B3n </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'">adecuada de los resu= ltados. Estas pruebas proporcionaron una base estad=C3=ADstica s=C3=B3lida = para </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">evaluar la e= ficacia del extracto esencial de Eucalyptus globulus frente a Candida albic= ans </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">(16) (23) (24= ). </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'"> </span></p><p class=3D"stl01" style=3D"line-height:8pt"><span cla= ss=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-siz= e:8pt">Esta revista est=C3=A1 protegida bajo una licencia Creative Commons = en la 4.0 </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times N= ew Roman Italic'; font-size:8pt"> </span></p><p class=3D"stl01" style= =3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Tim= es New Roman Italic'; font-size:8pt">International. Copia de la licencia: <= /span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman It= alic'; font-size:8pt"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:12pt"><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" tar= get=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c1">htt= p://creativecommons.org/licenses/by-nc-sa/4.0/ </span><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c= 1"> </span></a></p><p class=3D"stl01" style=3D"line-height:11pt"><span= class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; let= ter-spacing:normal; color:#ffffff">M a n e j o</span><span class=3D"stl14" = style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:norma= l; color:#ffffff"> </span><span class=3D"stl14" style=3D"font-family:'= MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">C l = =C3=AD n i c o </span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Ca= libri'; font-size:11pt; letter-spacing:normal; color:#ffffff"> </span>= </p><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl14" sty= le=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; = color:#ffffff">P =C3=A1 g i n a</span><span class=3D"stl14" style=3D"font-f= amily:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#fffff= f"> </span><span class=3D"stl47" style=3D"letter-spacing:0.05pt">34 | = 44 </span><span class=3D"stl47" style=3D"letter-spacing:0.05pt"> </spa= n></p><p style=3D"line-height:12pt"><a href=3D"http://creativecommons.org/l= icenses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:none"><im= g src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAnQAAANkCAYAAAA+yLfg= AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACFlJREFUeJztwTEBAAAAwqD= 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CYII=3D" width=3D"628" height=3D"887" alt=3D"" style=3D"position:absolute" = /></span><span class=3D"stl07">ISSN: </span><span class=3D"stl08" style=3D"= font-family:'AAFSER+Times New Roman Bold'; color:#ffffff">2697-3391 </span>= <span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; c= olor:#ffffff"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 </span><span class=3D"stl08"= style=3D"font-family:'LVJFBB+Times New Roman'; color:#ffffff">=E2=80=93 </= span><span class=3D"stl07">44, julio - agosto 2025 </span><span class=3D"st= l07"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl07">Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica </span>= <span class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:12pt"><span class=3D"stl07">Art=C3=ADculo de revisi=C3=B3n bibliogr=C3= =A1fica </span><span class=3D"stl07"> </span></p><p class=3D"stl01" st= yle=3D"line-height:11pt"><span class=3D"stl16">www.anatomiadigital.org </sp= an><span class=3D"stl16"> </span></p><p class=3D"stl01" style=3D"line-= height:10pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New R= oman Bold'; font-size:10pt">Figura 1. </span><span class=3D"stl08" style=3D= "font-family:'FPLVOP+Times New Roman Italic'; font-size:10pt">Procedimiento= Laboratorial </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Tim= es New Roman Italic'; font-size:10pt"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'">Como se muestra en </span><a href=3D"#__0" style=3D"tex= t-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'; color:#000000">la </span></a><a href=3D"#__0" style=3D"text-de= coration:none"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New= Roman Bold'; color:#000000">Figura 1</span></a><a href=3D"#__0" style=3D"t= ext-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'; color:#000000">. </span></a><span class=3D"stl08" style=3D"f= ont-family:'AAFSER+Times New Roman Bold'">(a) </span><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'">Se pesaron todos los compone= ntes para disolverlos </span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-he= ight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'">y mezclarlo en agua destilada. </span><span class=3D"stl08" style=3D"f= ont-family:'AAFSER+Times New Roman Bold'">(b) </span><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'">Se dispensaron en las cajas = Petri para la elaboraci=C3=B3n de </span><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" styl= e=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'">medios de cultivo a base de agar Sabouraud dextrosa </span= ><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'">= (c) </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'">Disoluci=C3=B3n del Eucalyptus </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" st= yle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'">gl=C3=B3bulus extracto esencial en concentraciones 50%, = 75%, 100%.</span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'"> </span><span class=3D"stl08" style=3D"font-family:'AAFSER+= Times New Roman Bold'">(d) </span><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'">La inoculaci=C3=B3n de </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'">Candida albicans (60193) se realiz=C3=B3 = en cabina de flujo laminar para evitar contaminaci=C3=B3n </span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'AAFSER+Times New Roman Bold'">(e) </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'">Se emplearon discos en = blanco humedeci=C3=A9ndoles con una pipeta a diferentes </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">concentraciones. </span><span cla= ss=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'">(f) </span= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Se in= cubaron a 25=C2=B0 C para mantener las placas de cultivo a una </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">temperatura =C3=B3ptima para = el crecimiento del hongo. </span><span class=3D"stl08" style=3D"font-family= :'AAFSER+Times New Roman Bold'">(g) </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">Registro del tama=C3=B1o (mm) de los <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">halos inhibitorio= s. </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roma= n Bold'">(h) </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'">Inactivaci=C3=B3n de los medios de cultivos con autoclave par= a </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">posteriormente = colocarlos en bolsas de desechos biol=C3=B3gicos. </span><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p clas= s=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-= family:'AAFSER+Times New Roman Bold'; color:#767171">3. Resultados </span><= span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; co= lor:#767171"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">En la= evaluaci=C3=B3n de la capacidad antif=C3=BAngica del aceite esencial de Eu= calyptus globulus </span><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height= :12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"= >frente a Candida albicans (ATCC 60193), se observaron diferencias en los h= alos de </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">inhibici= =C3=B3n seg=C3=BAn la concentraci=C3=B3n utilizada. </span><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cl= ass=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'">En </span><a href=3D"#__0" style=3D"text= -decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'; color:#000000">la </span></a><a href=3D"#__0" style=3D"text-dec= oration:none"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New = Roman Bold'; color:#000000">Tabla 1 </span></a><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">se evidencia que las concentracio= nes del aceite Eucalyptus globulus al 50% </span><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl= 01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'">se obtuvo el halo de inhibici=C3=B3n m=C3=A1s pequ= e=C3=B1o con un valor de media (1,83 mm =C2=B1 1,32), </span><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p = class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'">una varianza (10,567) lo que indica qu= e los datos presentaron dispersi=C3=B3n, la mediana es </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D= "font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">Esta revista e= st=C3=A1 protegida bajo una licencia Creative Commons en la 4.0 </span><spa= n class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; fon= t-size:8pt"> </span></p><p class=3D"stl01" style=3D"line-height:8pt"><= span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; = font-size:8pt">International. Copia de la licencia: </span><span class=3D"s= tl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"h= ttp://creativecommons.org/licenses/by-nc-sa/4.0/" target=3D"_blank" style= =3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'; font-size:8pt; color:#0563c1">http://creativecommons.or= g/licenses/by-nc-sa/4.0/ </span><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c1"> </span></a></= p><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl14" style= =3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; co= lor:#ffffff">M a n e j o</span><span class=3D"stl14" style=3D"font-family:'= MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff"> = 0;</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-= size:11pt; letter-spacing:normal; color:#ffffff">C l =C3=AD n i c o </span>= <span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt= ; letter-spacing:normal; color:#ffffff"> </span></p><p class=3D"stl01"= style=3D"line-height:11pt"><span class=3D"stl14" style=3D"font-family:'MSS= KVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">P =C3= =A1 g i n a</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibr= i'; font-size:11pt; letter-spacing:normal; color:#ffffff"> </span><spa= n class=3D"stl47" style=3D"letter-spacing:0.05pt">35 | 44 </span><span clas= s=3D"stl47" style=3D"letter-spacing:0.05pt"> </span><a id=3D"__0"></a>= </p><p style=3D"line-height:12pt"><span> </span><span> </span></p><p s= tyle=3D"line-height:12pt"><a href=3D"http://creativecommons.org/licenses/by= -nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:none"><img src=3D"d= ata:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAnQAAANkCAYAAAA+yLfgAAAABHNCSV= 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0UU5pZRS6tE00KmW45zj/PnzzM7OJiVWTXRKKaXUo+geOtVy5ubmeOutt5qlVl2hU0oppR7NB/7= 8VT+EUmtdvXqVMAybp2ToFjqllFJKKaWUUkp9rf0HT4EOrBMEWeYAAAAASUVORK5CYII=3D" wi= dth=3D"628" height=3D"887" alt=3D"" style=3D"position:absolute" /></span><s= pan class=3D"stl07">ISSN: </span><span class=3D"stl08" style=3D"font-family= :'AAFSER+Times New Roman Bold'; color:#ffffff">2697-3391 </span><span class= =3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#fffff= f"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cla= ss=3D"stl07">Vol. 8 No. 3.2, pp. 29 </span><span class=3D"stl08" style=3D"f= ont-family:'LVJFBB+Times New Roman'; color:#ffffff">=E2=80=93 </span><span = class=3D"stl07">44, julio - agosto 2025 </span><span class=3D"stl07"> = </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl= 07">Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica </span><span class= =3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><= span class=3D"stl07">Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica </sp= an><span class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-= height:11pt"><span class=3D"stl16">www.anatomiadigital.org </span><span cla= ss=3D"stl16"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">0, lo= que indica que al menos en uno de los ensayos no hubo halo de inhibici=C3= =B3n, el valor </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12= pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">de= p=3D 0,004 indica que la diferencia en los resultados es significativa. </= span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Como se muestra e= n </span><a href=3D"#__0" style=3D"text-decoration:none"><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000">la </span= ></a><a href=3D"#__0" style=3D"text-decoration:none"><span class=3D"stl08" = style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#000000">Tabla 1 = </span></a><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'">el halo de inhibici=C3=B3n m=C3=A1s grande de las disoluciones del </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Eucalyptus globulus = fue al 75% frente a la Candida albicans (ATCC 60193) con un valor </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">media: (6,33 mm =C2=B1 2,4= 4), obteniendo una varianza m=C3=A1s alta (35,867), lo que indica mayor </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'">dispersi=C3=B3n en l= os datos, la mediana es 5, mostrando que al menos la mitad de las </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">mediciones tuvieron valore= s entorno a ese tama=C3=B1o, el valor p=3D0,36 indica que la diferencia </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'">con respecto a otros= grupos no es estad=C3=ADsticamente significativa. </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"font= -family:'AAFSER+Times New Roman Bold'; font-size:10pt">Tabla 1. </span><spa= n class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; fon= t-size:10pt">Comparaci=C3=B3n de los efectos inhibidores de los aceites ese= nciales Eucalyptus gl=C3=B3bulus al </span><span class=3D"stl08" style=3D"f= ont-family:'FPLVOP+Times New Roman Italic'; font-size:10pt"> </span></= p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:10pt">50%;75%;10= 0% sobre la cepa Candida albicans (ATCC 60193) </span><span class=3D"stl08"= style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:10pt"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">Halos = de inhibici=C3=B3n (di=C3=A1metro en mm) </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></p>= <p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">P</span></p><p cl= ass=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'; font-size:10pt">Disoluci=C3=B3n </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-si= ze:10pt"> </span></p><p class=3D"stl01" style=3D"line-height:10pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size= :10pt">AE - 50% </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'; font-size:10pt"> </span></p><p class=3D"stl01" style= =3D"line-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'; font-size:10pt">AE - 75% </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></p>= <p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">AE-100% </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-siz= e:10pt"> </span></p><p class=3D"stl01" style=3D"line-height:10pt"><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:= 10pt">N=C2=B0 de repeticiones </span><span class=3D"stl08" style=3D"font-fa= mily:'MVNSWI+Times New Roman'; font-size:10pt"> </span></p><p class=3D= "stl01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'; font-size:10pt">media =C2=B1D.S </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10p= t"> </span></p><p class=3D"stl01" style=3D"line-height:10pt"><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"= >varianza </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'; font-size:10pt"> </span></p><p class=3D"stl01" style=3D"lin= e-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'; font-size:10pt">10,567 </span><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></p><p class= =3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'; font-size:10pt">35,867 </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:10pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">2= ,7 </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'; font-size:10pt"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ; font-size:10pt">mediana </span><span class=3D"stl08" style=3D"font-family= :'MVNSWI+Times New Roman'; font-size:10pt"> </span></p><p class=3D"stl= 01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'; font-size:10pt">3</span></p><p class=3D"stl01" sty= le=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'; font-size:10pt">3</span></p><p class=3D"stl01" style=3D"l= ine-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'; font-size:10pt">3</span></p><p class=3D"stl01" style=3D"line-hei= ght:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'; font-size:10pt">1,8333 =C2=B1 1,32707 </span><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></p= ><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">6,3333 =C2=B1 2,4= 4495 </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'; font-size:10pt"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'; font-size:10pt">4,5000 =C2=B1 0,67082 </span><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></p= ><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">0</span></p><p cl= ass=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'; font-size:10pt">5</span></p><p class=3D"= stl01" style=3D"line-height:10pt"><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'; font-size:10pt">0,004 </span><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt"> </= span></p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'; font-size:10pt">0,36 </spa= n><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font= -size:10pt"> </span></p><p class=3D"stl01" style=3D"line-height:10pt">= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-s= ize:10pt">4,5 </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'; font-size:10pt"> </span></p><p class=3D"stl01" style=3D= "line-height:10pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'; font-size:10pt">0,004 </span><span class=3D"stl08" style=3D"fo= nt-family:'MVNSWI+Times New Roman'; font-size:10pt"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'">Las disoluciones obtenidas al 100% obtuvo= un halo de inhibici=C3=B3n intermedio con un valor </span><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cl= ass=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'">de media (4,5 mm =C2=B1 0,67), la varian= za es baja (2.7) lo que indica que los datos son m=C3=A1s </span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">consistentes, la mediana es 4,5 l= o que indica que los valores est=C3=A1n bien distribuidos el </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span>= </p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'">valor de p=3D 0,004 indica que = hay una diferencia significativa con respecto a la disoluci=C3=B3n </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> <= /span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'">del 50%. </span><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></= p><p class=3D"stl01" style=3D"line-height:10pt"><span class=3D"stl08" style= =3D"font-family:'AAFSER+Times New Roman Bold'; font-size:10pt">Figura 2. </= span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Ita= lic'; font-size:10pt">Promedio de di=C3=A1metros de =C3=A1reas inhibidoras = seg=C3=BAn la concentraci=C3=B3n del aceite esencial </span><span class=3D"= stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:10pt= "> </span></p><p class=3D"stl01" style=3D"line-height:10pt"><span clas= s=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size= :10pt">Eucalyptus gl=C3=B3bulus al 50%;75%;100% sobre la cepa Candida albic= ans (ATCC 60193) </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+= Times New Roman Italic'; font-size:10pt"> </span></p><p class=3D"stl01= " style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'">La </span><a href=3D"#__1" style=3D"text-decoration:= none"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bo= ld'; color:#000000">Figura 2 </span></a><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'">ilustra la relaci=C3=B3n entre la concent= raci=C3=B3n del aceite esencial Eucalyptus </span><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"st= l01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'">globulus (eje X) y los halos de inhibici=C3=B3n e= n mil=C3=ADmetros (eje Y). </span><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"li= ne-height:8pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New= Roman Italic'; font-size:8pt">Esta revista est=C3=A1 protegida bajo una li= cencia Creative Commons en la 4.0 </span><span class=3D"stl08" style=3D"fon= t-family:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </span></p><= p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"= font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">International. = Copia de la licencia: </span><span class=3D"stl08" style=3D"font-family:'FP= LVOP+Times New Roman Italic'; font-size:8pt"> </span></p><p class=3D"s= tl01" style=3D"line-height:12pt"><a href=3D"http://creativecommons.org/lice= nses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:none"><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8p= t; color:#0563c1">http://creativecommons.org/licenses/by-nc-sa/4.0/ </span>= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-s= ize:8pt; color:#0563c1"> </span></a></p><p class=3D"stl01" style=3D"li= ne-height:11pt"><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'= ; font-size:11pt; letter-spacing:normal; color:#ffffff">M a n e j o</span><= span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt;= letter-spacing:normal; color:#ffffff"> </span><span class=3D"stl14" s= tyle=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal= ; color:#ffffff">C l =C3=AD n i c o </span><span class=3D"stl14" style=3D"f= ont-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#= ffffff"> </span></p><p class=3D"stl01" style=3D"line-height:11pt"><spa= n class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; le= tter-spacing:normal; color:#ffffff">P =C3=A1 g i n a</span><span class=3D"s= tl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing= :normal; color:#ffffff"> </span><span class=3D"stl47" style=3D"letter-= spacing:0.05pt">36 | 44 </span><span class=3D"stl47" style=3D"letter-spacin= g:0.05pt"> </span><a id=3D"__0"></a></p><p style=3D"line-height:12pt">= <span> </span><span> </span><a id=3D"__1"><span> </span></a><span= > </span></p><p style=3D"line-height:12pt"><a href=3D"http://creativecommon= s.org/licenses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:no= ne"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAnQAAANkCAYAA= AA+yLfgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACFlJREFUeJztwTEB= AAAAwqD1T20ND6AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= 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</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl= 07">Vol. 8 No. 3.2, pp. 29 </span><span class=3D"stl08" style=3D"font-famil= y:'LVJFBB+Times New Roman'; color:#ffffff">=E2=80=93 </span><span class=3D"= stl07">44, julio - agosto 2025 </span><span class=3D"stl07"> </span></= p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">Revis= ta en ciencias m=C3=A9dicas, salud p=C3=BAblica </span><span class=3D"stl07= "> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span clas= s=3D"stl07">Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica </span><span = class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-height:11= pt"><span class=3D"stl16">www.anatomiadigital.org </span><span class=3D"stl= 16"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Los resultados= de esta investigaci=C3=B3n se basan en la preparaci=C3=B3n a distintas con= centraciones </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">del = extracto esencial Eucalyptus globulus, analizados sobre la cepa Candida alb= icans </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">(ATCC 60193= ), como controles se utilizaron fluconazol y agua purificada, se obtuvieron= </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= "> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">los siguientes r= esultados en funci=C3=B3n del di=C3=A1metro del halo de inhibici=C3=B3n al = 50% son </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">relativam= ente peque=C3=B1os con pocos valores at=C3=ADpicos, indicando que los datos= est=C3=A1n </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">agrup= ados alrededor de un valor bajo no hay dispersi=C3=B3n significativa, pero = hay un valor </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">at= =C3=ADpico (outlier) por encima de 15mm, esto sugiere que la variabilidad e= n esta </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">concentrac= i=C3=B3n es baja, salvo por ese valor extremo, a diferencia del 75% hay may= or </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">dispersi=C3=B3= n de datos, con una mediana m=C3=A1s alta que la disoluci=C3=B3n del 50% y = parece cercana </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12= pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">a = 5 mm, existen algunos valores at=C3=ADpicos que indican respuestas variable= s, la caja (IQR, </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">= rango intercuart=C3=ADlico) es m=C3=A1s amplia, indicando mayor variabilida= d en los datos, hay un </span><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-h= eight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'">valor at=C3=ADpico que supera los 15 mm, lo cual sugiere datos extrem= os en esta concentraci=C3=B3n, </span><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">obteniendo la mayor dispersi=C3=B3n entre los grupos, dentr= o de un rango m=C3=A1s estrecho </span><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">encontramos a las concentraciones al 100% y parecen m=C3=A1= s consistentes en su tama=C3=B1o, la </span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'">mediana est=C3=A1 entre 3 y 5 mm, similar a la concentr= aci=C3=B3n 75% pero m=C3=A1s baja, la caja es </span><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D= "stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'">m=C3=A1s peque=C3=B1a, indicando menor variabi= lidad que el 75%, no hay valores at=C3=ADpicos visibles </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">en esta concentraci=C3=B3n. </spa= n><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'">La mayor dispersi=C3= =B3n y un rango intercuart=C3=ADlico la observamos en la concentraci=C3=B3n= del </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">75% que las = dem=C3=A1s concentraciones, los valores medianos de 75% y 100% son similare= s, </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">a diferencia d= e la concentraci=C3=B3n al 100% que tiene una distribuci=C3=B3n m=C3=A1s co= ncentrada, a </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">comp= araci=C3=B3n del 50%, los datos est=C3=A1n m=C3=A1s agrupados, con un valor= at=C3=ADpico notable. </span><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-h= eight:12pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Ro= man Bold'; color:#767171">4. Discusi=C3=B3n </span><span class=3D"stl08" st= yle=3D"font-family:'AAFSER+Times New Roman Bold'; color:#767171"> </sp= an></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'">Este estudio fue realizado c= on el fin de determinar la eficacia del aceite esencial de </span><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></= p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">Eucalyptus globulus, extra=C3=ADd= o de especies vegetales, frente a Candida albicans ATCC </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">(60193). Los aceites esenciales s= on mezclas naturales complejas, compuestas </span><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"st= l01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'">principalmente por terpenos, terpenoides y otros = compuestos arom=C3=A1ticos, cuya proporci=C3=B3n </span><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'">define sus efectos biol=C3=B3gicos. El acei= te esencial de Eucalyptus globulus ha sido </span><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"st= l01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'">ampliamente estudiado por sus propiedades antiinf= lamatorias, antimicrobianas, </span><span class=3D"stl08" style=3D"font-fam= ily:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"= line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'">antioxidantes, antihistam=C3=ADnicas y antis=C3=A9pticas, lo qu= e ha motivado su aplicaci=C3=B3n en </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" st= yle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'">odontolog=C3=ADa como coadyuvante en el tratamiento de a= fecciones bucales. En este trabajo, </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" st= yle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'">se estudi=C3=B3 su acci=C3=B3n frente a Candida albicans= , un hongo asociado a infecciones </span><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" styl= e=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'">persistentes del conducto radicular (25) (26). </span><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </sp= an></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'">En este contexto, el extract= o esencial de Eucalyptus globulus mostr=C3=B3 capacidad para </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span>= </p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'">inhibir el crecimiento de Candi= da albicans, observ=C3=A1ndose un efecto mayor conforme </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">aumentaban las concentraciones de= l aceite. Sin embargo, en concentraciones m=C3=A1s bajas, </span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">este efecto disminuy=C3=B3 consid= erablemente hasta desaparecer (27). Estos hallazgos </span><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cl= ass=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'">coinciden con los reportados por Boukhat= em (27) quien aplic=C3=B3 la t=C3=A9cnica de difusi=C3=B3n en </span><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span= ></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'">disco y evalu=C3=B3 concentrac= iones en 0,071%, 0,142% y 0,212% de aceite de eucalipto, sin </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span>= </p><p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" styl= e=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">Esta revis= ta est=C3=A1 protegida bajo una licencia Creative Commons en la 4.0 </span>= <span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic';= font-size:8pt"> </span></p><p class=3D"stl01" style=3D"line-height:8p= t"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Itali= c'; font-size:8pt">International. Copia de la licencia: </span><span class= =3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:= 8pt"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href= =3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" target=3D"_blank" st= yle=3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'; font-size:8pt; color:#0563c1">http://creativecommons= .org/licenses/by-nc-sa/4.0/ </span><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c1"> </span></a= ></p><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl14" st= yle=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal;= color:#ffffff">M a n e j o</span><span class=3D"stl14" style=3D"font-famil= y:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">&= #xa0;</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; fo= nt-size:11pt; letter-spacing:normal; color:#ffffff">C l =C3=AD n i c o </sp= an><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:1= 1pt; letter-spacing:normal; color:#ffffff"> </span></p><p class=3D"stl= 01" style=3D"line-height:11pt"><span class=3D"stl14" style=3D"font-family:'= MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">P = =C3=A1 g i n a</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Cal= ibri'; font-size:11pt; letter-spacing:normal; color:#ffffff"> </span><= span class=3D"stl47" style=3D"letter-spacing:0.05pt">37 | 44 </span><span c= lass=3D"stl47" style=3D"letter-spacing:0.05pt"> </span></p><p style=3D= "line-height:12pt"><a href=3D"http://creativecommons.org/licenses/by-nc-sa/= 4.0/" target=3D"_blank" style=3D"text-decoration:none"><img src=3D"data:ima= ge/png;base64,iVBORw0KGgoAAAANSUhEUgAAAnQAAANkCAYAAAA+yLfgAAAABHNCSVQICAgIf= AhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACFlJREFUeJztwTEBAAAAwqD1T20ND6AAAAAAAAAA= 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pMAnQyZFQqFQqFQqJSrohvSMe1s2zabN2/myJEjaJqmxJxCoVAoFCdAXR0V3RJd1/1GiG3btmGa= JlJK1RChUCgUCsUJUClXRbdESkk8Huett97ybUq6pqMVCoVCoVC4qAidotvhpVz37t3Lnj17VFR= OoVAoFIoPQAk6RbdDCEE0GmXz5s3EYjFUUE6hUCgUivdHCTpFt0NKyZYtW6iqqkqlWJWiUygUCo= Xi/VA1dIpux9GjR3nxxRf9VKuK0CkUCoVC8f4YwNOf90EoFB3ZvXs3lmX5UzJUCZ1CoVAoFAqFQ= qFQKBSK05r/DwUuV+Bq78V6AAAAAElFTkSuQmCC" width=3D"628" height=3D"887" alt= =3D"" style=3D"position:absolute" /></span><span class=3D"stl07">ISSN: </sp= an><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'= ; color:#ffffff">2697-3391 </span><span class=3D"stl08" style=3D"font-famil= y:'AAFSER+Times New Roman Bold'; color:#ffffff"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">Vol. 8 No. 3.2,= pp. 29 </span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New= Roman'; color:#ffffff">=E2=80=93 </span><span class=3D"stl07">44, julio - = agosto 2025 </span><span class=3D"stl07"> </span></p><p class=3D"stl01= " style=3D"line-height:12pt"><span class=3D"stl07">Revista en ciencias m=C3= =A9dicas, salud p=C3=BAblica </span><span class=3D"stl07"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">Art=C3= =ADculo de revisi=C3=B3n bibliogr=C3=A1fica </span><span class=3D"stl07">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D= "stl16">www.anatomiadigital.org </span><span class=3D"stl16"> </span><= /p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'">encontrar actividad antif=C3=BAn= gica contra Candida albicans. Esto sugiere que, a bajas </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">concentraciones, el aceite esenci= al no posee un efecto antimicrobiano relevante (28) (29). </span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">Por el contrario en el presente e= studio se observaron diferencias significativas en la acci=C3=B3n </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">inhibitoria del extracto e= sencial Eucalyptus globulus. A una concentraci=C3=B3n del 75%, se </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">obtuvo el halo de inhibici= =C3=B3n cl=C3=ADnicamente m=C3=A1s amplio, aunque con alta variabilidad en = los </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">datos. En cam= bio, la disoluci=C3=B3n al 100% mostr=C3=B3 un halo de inhibici=C3=B3n lige= ramente menor, </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12= pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">pe= ro con menor variabilidad y diferencia estad=C3=ADsticamente significativa,= lo que la hace </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">m= =C3=A1s confiable en t=C3=A9rminos de efecto predecible. </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">Bokaeian (26) demostr=C3=B3 en un= experimento con ratones, que una concentraci=C3=B3n del 0,25% </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">de aceite esencial disuelto e= n agua ofrec=C3=ADa una inhibici=C3=B3n efectiva contra Candida </span><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </sp= an></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'">albicans, lo cual respalda l= a necesidad de utilizar concentraciones elevadas para lograr </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span>= </p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'">efectos eficaces (27). </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> <= /span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'">Es importante considerar = que la actividad antif=C3=BAngica del aceite var=C3=ADa seg=C3=BAn la espec= ie de </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">eucalipto u= tilizada. Seg=C3=BAn Barbosa et al. (30) el aceite esencial de Eucalyptus g= lobulus </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">present= =C3=B3 actividad contra C. albicans a concentraciones entre 2 y 8 mg/mL, mi= entras que </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt">= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">el ace= ite esencial de Eucalyptus citriodora mostr=C3=B3 un efecto antimit=C3=B3ti= co m=C3=A1s potente </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '">incluso a 0,25 mg/mL. Esta acci=C3=B3n antimicrobiana se atribuye princi= palmente a </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt">= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">compue= stos bioactivos como el eucaliptol (1,8-cineol) y el alfa-terpineol (30). <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">En este estudio s= e utilizaron tres concentraciones (50%, 75% y 100%), y se observ=C3=B3 un <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">efecto inhibitori= o similar al reportado por Bokaeian (26) quien destac=C3=B3 una mayor efica= cia </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">con concentra= ciones m=C3=A1s altas del aceite esencial. Sin embargo, los estudios actual= es </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">presentan limi= taciones, como la escasez de investigaciones comparables y la ausencia de <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">ensayos cl=C3=ADn= icos controlados. Adem=C3=A1s, es necesario profundizar en la comprensi=C3= =B3n de sus </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">mecan= ismos de acci=C3=B3n y en la interacci=C3=B3n con otros tratamientos conven= cionales. Por lo </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">= tanto se requieren m=C3=A1s investigaciones para confirmar su eficacia cl= =C3=ADnica y validar su </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'">aplicaci=C3=B3n como agente terap=C3=A9utico en el =C3=A1mbito de la= odontolog=C3=ADa. </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman = Bold'; color:#767171">5. Conclusiones </span><span class=3D"stl08" style=3D= "font-family:'AAFSER+Times New Roman Bold'; color:#767171"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl14" style= =3D"letter-spacing:normal">=E2=80=A2 </span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'">El estudio demuestra que el Eucalyptu= s globulus aceite esencial posee un </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" st= yle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'">potencial antimicrobiano frente a Candida albicans, hong= o predominante en las </span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-he= ight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'">infecciones endod=C3=B3nticas. Su eficacia sugiere que podr=C3=ADa ser= una alternativa o </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ">complemento a los colutorios e irrigantes tradicionales, e incluso combin= arse con </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">hipoclor= ito de sodio para optimizar la desinfecci=C3=B3n de los conductos radicular= es. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">No obstante, = a=C3=BAn se requiere mayor evidencia cient=C3=ADfica que respalde su </span= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = ;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'">efectividad, especialme= nte mediante estudios realizados en Ecuador, pa=C3=ADs con una </span><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </spa= n></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">rica diversidad de plantas me= dicinales. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:8pt"><= span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; = font-size:8pt">Esta revista est=C3=A1 protegida bajo una licencia Creative = Commons en la 4.0 </span><span class=3D"stl08" style=3D"font-family:'FPLVOP= +Times New Roman Italic'; font-size:8pt"> </span></p><p class=3D"stl01= " style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:'FPL= VOP+Times New Roman Italic'; font-size:8pt">International. Copia de la lice= ncia: </span><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New R= oman Italic'; font-size:8pt"> </span></p><p class=3D"stl01" style=3D"l= ine-height:12pt"><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.= 0/" target=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; color:#0563c1= ">http://creativecommons.org/licenses/by-nc-sa/4.0/ </span><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; color:#= 0563c1"> </span></a></p><p class=3D"stl01" style=3D"line-height:11pt">= <span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt= ; letter-spacing:normal; color:#ffffff">M a n e j o</span><span class=3D"st= l14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:= normal; color:#ffffff"> </span><span class=3D"stl14" style=3D"font-fam= ily:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff"= >C l =C3=AD n i c o </span><span class=3D"stl14" style=3D"font-family:'MSSK= VR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff"> </= span></p><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl14= " style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:nor= mal; color:#ffffff">P =C3=A1 g i n a</span><span class=3D"stl14" style=3D"f= ont-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#= ffffff"> </span><span class=3D"stl47" style=3D"letter-spacing:0.05pt">= 38 | 44 </span><span class=3D"stl47" style=3D"letter-spacing:0.05pt"> = </span></p><p style=3D"line-height:12pt"><a href=3D"http://creativecommons.= org/licenses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:none= "><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAnQAAANkCAYAAAA= +yLfgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACFlJREFUeJztwTEBAA= 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VCoVCcQ6hcVS+jp+2Gl1b0mpF7cVPyJ4amCRzHobq6mt2793RJtSoUCoVCoQAl6Hod3lgrwB8p5= hkOn8t0dsbYuXMXkUjk0z4UhUKhUCh6Hb085Xru4UXmPJ86L1rnp1zPgW5Oz4rETbVqSAn79++n= qqrq0z40hUKhUCh6JUrQ9TJEN1+67gLvXKFr2llKSWtrKxs2bCCVSgF0M2RWKBQKhUKhUq6KXkj= XtLNt22zZsoWjR4+iaZoScwqFQqFQnAJ1d1T0SnRd9xshtm/fjmmaSClVQ4RCoVAoFKdApVwVvR= IpJYlEgrfeesu3KemZjlYoFAqFQuGiInSKXoeXct23bx979+5VUTmFQqFQKN4HJegUvQ4hBLFYj= C1bthCPx1FBOYVCoVAo3hsl6BS9DiklW7dupba2Np1iVYpOoVAoFIr3QtXQKXodx44d46WXXvJT= rSpCp1AoFArFe2MAz3zaB6FQdGXPnj1YluVPyVAldAqFQqFQKBQKhUKhUCjOav4/P8SC8VzzV0g= AAAAASUVORK5CYII=3D" width=3D"628" height=3D"887" alt=3D"" style=3D"positio= n:absolute" /></span><span class=3D"stl07">ISSN: </span><span class=3D"stl0= 8" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#ffffff">2697-= 3391 </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Ro= man Bold'; color:#ffffff"> </span></p><p class=3D"stl01" style=3D"line= -height:12pt"><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 </span><span cla= ss=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'; color:#ffffff">= =E2=80=93 </span><span class=3D"stl07">44, julio - agosto 2025 </span><span= class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl07">Revista en ciencias m=C3=A9dicas, salud p=C3=BAb= lica </span><span class=3D"stl07"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl07">Art=C3=ADculo de revisi=C3=B3n = bibliogr=C3=A1fica </span><span class=3D"stl07"> </span></p><p class= =3D"stl01" style=3D"line-height:11pt"><span class=3D"stl16">www.anatomiadig= ital.org </span><span class=3D"stl16"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl14" style=3D"letter-spacing:nor= mal">=E2=80=A2 </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">Esta investigaci=C3=B3n plantea la necesidad de continuar e= xplorando el uso de la </span><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-h= eight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'">fitoterapia en odontolog=C3=ADa, con el fin de desarrollar tratamient= os eficaces que </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">p= resenten menos efectos adversos. </span><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Ti= mes New Roman Italic'">5.1. </span><span class=3D"stl08" style=3D"font-fami= ly:'FPLVOP+Times New Roman Italic'"> </span></p><p class=3D"stl01" sty= le=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+= Times New Roman Italic'">Agradecimientos </span><span class=3D"stl08" style= =3D"font-family:'FPLVOP+Times New Roman Italic'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'">A la coordinaci=C3=B3n del Centro de Invest= igaci=C3=B3n, Innovaci=C3=B3n y Transferencia de Tecnolog=C3=ADa </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">(CIITT) de la Universidad C= at=C3=B3lica de Cuenca, por permitirme utilizar sus instalaciones </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">de laboratorio y brindarme= un espacio de trabajo con el equipo necesario para llevar a </span><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span>= </p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'">cabo esta investigaci=C3=B3n, d= e igual manera a cada una de las personas por su invaluable </span><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span><= /p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'">contribuci=C3=B3n para la realiz= aci=C3=B3n de esta. </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman= Bold'; color:#767171">6. Conflicto</span><span class=3D"stl08" style=3D"fo= nt-family:'AAFSER+Times New Roman Bold'; color:#767171"> </span><span = class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#= 767171">de intereses </span><span class=3D"stl08" style=3D"font-family:'AAF= SER+Times New Roman Bold'; color:#767171"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'">Los autores manifiestan no tener ning=C3=BAn inter= =C3=A9s en conflicto. </span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-he= ight:12pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Rom= an Bold'; color:#767171">7. Declaraci=C3=B3n</span><span class=3D"stl08" st= yle=3D"font-family:'AAFSER+Times New Roman Bold'; color:#767171"> </sp= an><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'= ; color:#767171">de contribuci=C3=B3n de los autores </span><span class=3D"= stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#767171">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Todos autores con= tribuyeron significativamente en la elaboraci=C3=B3n del art=C3=ADculo. </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D= "stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#767171">= 8. Costos</span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times Ne= w Roman Bold'; color:#767171"> </span><span class=3D"stl08" style=3D"f= ont-family:'AAFSER+Times New Roman Bold'; color:#767171">de financiamiento = </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman B= old'; color:#767171"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '">La presente investigaci=C3=B3n fue financiada en su totalidad con fondos= propios de los autores. </span><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line= -height:12pt"><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New = Roman Bold'; color:#767171">9. Referencias</span><span class=3D"stl08" styl= e=3D"font-family:'AAFSER+Times New Roman Bold'; color:#767171"> </span= ><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; = color:#767171">Bibliogr=C3=A1ficas </span><span class=3D"stl08" style=3D"fo= nt-family:'AAFSER+Times New Roman Bold'; color:#767171"> </span></p><p= class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'">1. Echegaray</span><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Rodr=C3=ADguez JR= , Echegaray Gonz=C3=A1lez P, Mosquera Fern=C3=A1ndez A, </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">Gerrikaetxebarria Pe=C3=B1a J. Fi= toterapia y sus aplicaciones. Revista Espa=C3=B1ola de </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">Podolog=C3=ADa [Internet]. 2011 [= citado 21 mayo 2025]; 22(6): 258</span><span class=3D"stl08" style=3D"font-= family:'LVJFBB+Times New Roman'; letter-spacing:-0.05pt">=E2=80=93</span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">267. Dis= ponible en: </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><a href=3D"https://www.revesppod.com/fitoterapia-y-sus-aplicaciones310" ta= rget=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'; color:#000000">https://www.revesp= pod.com/fitoterapia-y-sus-aplicaciones310 </span><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'; color:#000000"> </span></a>= </p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'">2. Kumar</span><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">J, Sharma R, Sh= arma M, Prabhavathi V, Paul J, Deepak Chowdary C. </span><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p clas= s=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'">Presence of candida albicans in root canal= s of teeth with apical periodontitis and </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'">evaluation of their possible role in failure of end= odontic treatment. Journal of </span><span class=3D"stl08" style=3D"font-fa= mily:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D= "line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'">International Oral Health [Online]. 2015 [cited 2025 May 21]; = 7(2):42</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New = Roman'">=E2=80=93</span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'; letter-spacing:-0.05pt">45. </span><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'; letter-spacing:-0.05pt"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'">Available from: </span= ><a href=3D"https://pmc.ncbi.nlm.nih.gov/articles/PMC4377149/" target=3D"_b= lank" style=3D"text-decoration:none"><span class=3D"stl08" style=3D"font-fa= mily:'MVNSWI+Times New Roman'; color:#000000">https://pmc.ncbi.nlm.nih.gov/= articles/PMC4377149/ </span><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'; color:#000000"> </span></a></p><p class=3D"stl01= " style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'">3. Mezzomo</span><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'"> </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">L, Krause Ferrao S, Butzge J, Noa= l Calil L, Appel M, Bonato Luisi S, et </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'">al. Evaluation of antifungal activity of essential = oils against different Candida spp. </span><span class=3D"stl08" style=3D"f= ont-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" st= yle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'">clinical isolates. Journal of Innovations in Pharmaceuti= cal and Biological Science </span><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"li= ne-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'">[Online]. 2021 [cited 2025 May 21]; 8(2):1-4. Available from: </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"htt= ps://jipbs.com/index.php/journal/article/view/404" target=3D"_blank" style= =3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'; color:#000000">https://jipbs.com/index.php/journal/arti= cle/view/404 </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'; color:#000000"> </span></a></p><p class=3D"stl01" style= =3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Tim= es New Roman Italic'; font-size:8pt">Esta revista est=C3=A1 protegida bajo = una licencia Creative Commons en la 4.0 </span><span class=3D"stl08" style= =3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </spa= n></p><p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" st= yle=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">Internat= ional. Copia de la licencia: </span><span class=3D"stl08" style=3D"font-fam= ily:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:12pt"><a href=3D"http://creativecommons.o= rg/licenses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:none"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-= size:8pt; color:#0563c1">http://creativecommons.org/licenses/by-nc-sa/4.0/ = </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman';= font-size:8pt; color:#0563c1"> </span></a></p><p class=3D"stl01" styl= e=3D"line-height:11pt"><span class=3D"stl14" style=3D"font-family:'MSSKVR+C= alibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">M a n e j o<= /span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-siz= e:11pt; letter-spacing:normal; color:#ffffff"> </span><span class=3D"s= tl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing= :normal; color:#ffffff">C l =C3=AD n i c o </span><span class=3D"stl14" sty= le=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; = color:#ffffff"> </span></p><p class=3D"stl01" style=3D"line-height:11p= t"><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:1= 1pt; letter-spacing:normal; color:#ffffff">P =C3=A1 g i n a</span><span cla= ss=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-= spacing:normal; color:#ffffff"> </span><span class=3D"stl47" style=3D"= letter-spacing:0.05pt">39 | 44 </span><span class=3D"stl47" style=3D"letter= -spacing:0.05pt"> </span></p><p style=3D"line-height:12pt"><a href=3D"= http://creativecommons.org/licenses/by-nc-sa/4.0/" target=3D"_blank" style= =3D"text-decoration:none"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAA= NSUhEUgAAAnQAAANkCAYAAAA+yLfgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlS= sOGwAACFlJREFUeJztwTEBAAAAwqD1T20ND6AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= 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ElFTkSuQmCC" width=3D"628" height=3D"887" alt=3D"" style=3D"position:absolu= te" /></span><span class=3D"stl07">ISSN: </span><span class=3D"stl08" style= =3D"font-family:'AAFSER+Times New Roman Bold'; color:#ffffff">2697-3391 </s= pan><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold= '; color:#ffffff"> </span></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 </span><span class=3D"st= l08" style=3D"font-family:'LVJFBB+Times New Roman'; color:#ffffff">=E2=80= =93 </span><span class=3D"stl07">44, julio - agosto 2025 </span><span class= =3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><= span class=3D"stl07">Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica <= /span><span class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"li= ne-height:12pt"><span class=3D"stl07">Art=C3=ADculo de revisi=C3=B3n biblio= gr=C3=A1fica </span><span class=3D"stl07"> </span></p><p class=3D"stl0= 1" style=3D"line-height:11pt"><span class=3D"stl16">www.anatomiadigital.org= </span><span class=3D"stl16"> </span></p><p class=3D"stl01" style=3D"= line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'">4. Agarwal</span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'"> </span><span class=3D"stl08" style=3D"font-fam= ily:'MVNSWI+Times New Roman'">V, Lal P, Pruthi V. Effect of plant oils on C= andida albicans. Journal of </span><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"l= ine-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'">Microbiology, Immunology, and Infection [Online]. 2010 [cited 20= 25 May 21]; </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">43(5)= : 447</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Ro= man'; letter-spacing:-0.05pt">=E2=80=93</span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">451. Available from: </span><a hr= ef=3D"https://pubmed.ncbi.nlm.nih.gov/21075713/" target=3D"_blank" style=3D= "text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'; color:#000000">https://pubmed.ncbi.nlm.nih.gov/21075713/ <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; = color:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-height= :12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"= >5. Valera</span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'"> </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'">MC, Maekawa LE, de Oliveira LD, Cardoso Jorge AO, Shygei = =C3=89, Carvalho </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">= Talge CA. In vitro antimicrobial activity of auxiliary chemical substances = and </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">natural extra= cts on Candida albicans and Enterococcus faecalis in root canals. </span><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </= span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08= " style=3D"font-family:'MVNSWI+Times New Roman'">Journal of Applied Oral Sc= ience [Online]. 2013 [cited 2025 May 21]; 21(2):118</span><span class=3D"st= l08" style=3D"font-family:'LVJFBB+Times New Roman'">=E2=80=93 </span><span = class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'"> </span= ></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'">123. Available from: </span><a= href=3D"https://pmc.ncbi.nlm.nih.gov/articles/PMC3881874/" target=3D"_blan= k" style=3D"text-decoration:none"><span class=3D"stl08" style=3D"font-famil= y:'MVNSWI+Times New Roman'; color:#000000">https://pmc.ncbi.nlm.nih.gov/art= icles/PMC3881874/ </span><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'; color:#000000"> </span></a></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'">6. Abraham</span><span class=3D"stl08" style=3D"font-fa= mily:'MVNSWI+Times New Roman'"> </span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'">SB, al Marzooq F, Himratul-Aznita WH,= Aly Ahmed HM, Samaranayake </span><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"l= ine-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'">LP. Prevalence, virulence, and antifungal activity of C. albican= s isolated from </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">i= nfected root canals. BMC Oral Health [Online]. 2020 [cited 2025 May 21]; 20= (1): </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">347. Availab= le from: </span><a href=3D"https://pubmed.ncbi.nlm.nih.gov/33256696/" targe= t=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'; color:#000000">https://pubmed.ncbi.nl= m.nih.gov/33256696/ </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'; color:#000000"> </span></a></p><p class=3D"stl01"= style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'">7. Gulati</span><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'"> </span><span class=3D"stl08" style=3D= "font-family:'MVNSWI+Times New Roman'">M, Nobile CJ. Candida albicans biofi= lms: development, regulation, and </span><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" styl= e=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'">molecular mechanisms. Microbes and Infection [Online]. 201= 6 [cited 2025 May </span><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height= :12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"= >21]; 18(5):310</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Ti= mes New Roman'">=E2=80=93</span><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'">21. Available from: </span><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D= "stl01" style=3D"line-height:12pt"><a href=3D"https://pmc.ncbi.nlm.nih.gov/= articles/PMC4860025/" target=3D"_blank" style=3D"text-decoration:none"><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000= 000">https://pmc.ncbi.nlm.nih.gov/articles/PMC4860025/ </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000">&#= xa0;</span></a></p><p class=3D"stl01" style=3D"line-height:12pt"><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">8. Nazzaro</span= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = ;</span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ">F, Fratianni F, Coppola R, De Feo V. Essential oils and antifungal activi= ty. </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Pharmaceutica= ls [Online]. 2017 [cited 2025 May 21];10(4):86. Available from: </span><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </sp= an></p><p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"https://www= .mdpi.com/1424-8247/10/4/86" target=3D"_blank" style=3D"text-decoration:non= e"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; col= or:#000000">https://www.mdpi.com/1424-8247/10/4/86 </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000"> </= span></a></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'">9. Ashraf</span><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">H, Sa= miee M, Eslami G, Reza M, Hosseini G. Presence of Candida Albicans </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> <= /span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'">in root canal system of t= eeth requiring endodontic retreatment with and without </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">periapical lesions. Iran=C3=ADan = Endodontic [Online]. 2007 [cited 2025 May 21];2(1):24- </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'">28. Available from: </span><a hre= f=3D"https://pubmed.ncbi.nlm.nih.gov/24348654/" target=3D"_blank" style=3D"= text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'; color:#000000">https://pubmed.ncbi.nlm.nih.gov/24348654/ </= span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; c= olor:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">= 10. Cuenca-Le=C3=B3n K, Pacheco-Quito EM, Granda-Granda Y, V=C3=A9lez-Le=C3= =B3n E, Zarzuelo- </span><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height= :12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"= >Casta=C3=B1eda A. Phytotherapy: a solution to decrease antifungal resistan= ce in the </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">dental = field. Biomolecules [Online]. 2022 [cited 2025 May 21]; 12(6):789. </span><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> <= /span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'">Available from: </span><a= href=3D"https://pubmed.ncbi.nlm.nih.gov/35740914/" target=3D"_blank" style= =3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'; color:#000000">https://pubmed.ncbi.nlm.nih.gov/35740914= / </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '; color:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-hei= ght:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'">11. Marjut S, Leo T, Riina RR. Microbiology of root canal infections. P= rimary Dental </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Tim= es New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12p= t"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Jou= rnal [Online]. 2016 [cited 2025 May 7]; 5(2):84</span><span class=3D"stl08"= style=3D"font-family:'LVJFBB+Times New Roman'">=E2=80=93</span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">89. Available fro= m: </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href= =3D"https://journals.sagepub.com/doi/10.1308/205016816819304231" target=3D"= _blank" style=3D"text-decoration:none"><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'; color:#000000">https://journals.sagepub.co= m/doi/10.1308/205016816819304231 </span><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'; color:#000000"> </span></a></p><p cl= ass=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'">12. Carneiro Valera M, Cardoso FGDR, Chu= ng A, Carvalho Xavier AC, Figueiredo </span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'">MD, Martinho FC, et al. Comparison of different irrigan= ts in the removal of </span><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'">endotoxins and cultivable microorganisms from infected root canals. Sci= entific </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">World Jou= rnal [Online]. 2015 [cited 2025 May 21]; 2015:125636. Available from: </spa= n><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"https= ://pmc.ncbi.nlm.nih.gov/articles/PMC4546762/" target=3D"_blank" style=3D"te= xt-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'; color:#000000">https://pmc.ncbi.nlm.nih.gov/articles/PMC45467= 62/ </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'; color:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-h= eight:8pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Rom= an Italic'; font-size:8pt">Esta revista est=C3=A1 protegida bajo una licenc= ia Creative Commons en la 4.0 </span><span class=3D"stl08" style=3D"font-fa= mily:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </span></p><p cl= ass=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font= -family:'FPLVOP+Times New Roman Italic'; font-size:8pt">International. Copi= a de la licencia: </span><span class=3D"stl08" style=3D"font-family:'FPLVOP= +Times New Roman Italic'; font-size:8pt"> </span></p><p class=3D"stl01= " style=3D"line-height:12pt"><a href=3D"http://creativecommons.org/licenses= /by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:none"><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:8pt; c= olor:#0563c1">http://creativecommons.org/licenses/by-nc-sa/4.0/ </span><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; font-size:= 8pt; color:#0563c1"> </span></a></p><p class=3D"stl01" style=3D"line-h= eight:11pt"><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; fo= nt-size:11pt; letter-spacing:normal; color:#ffffff">M a n e j o</span><span= class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; let= ter-spacing:normal; color:#ffffff"> </span><span class=3D"stl14" style= =3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:normal; co= 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tyle=3D"position:absolute" /></span><span class=3D"stl07">ISSN: </span><spa= n class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color= :#ffffff">2697-3391 </span><span class=3D"stl08" style=3D"font-family:'AAFS= ER+Times New Roman Bold'; color:#ffffff"> </span></p><p class=3D"stl01= " style=3D"line-height:12pt"><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 <= /span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'; = color:#ffffff">=E2=80=93 </span><span class=3D"stl07">44, julio - agosto 20= 25 </span><span class=3D"stl07"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl07">Revista en ciencias m=C3=A9dica= s, salud p=C3=BAblica </span><span class=3D"stl07"> </span></p><p clas= s=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl07">Art=C3=ADculo = de revisi=C3=B3n bibliogr=C3=A1fica </span><span class=3D"stl07"> </sp= an></p><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl16">= www.anatomiadigital.org </span><span class=3D"stl16"> </span></p><p cl= ass=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'">13. Ashraf H, Samiee M, Eslami G, Ghodse= Hosseini MR. Presence of candida albicans </span><span class=3D"stl08" sty= le=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"st= l01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'">in root canal system of teeth requiring endodonti= c retreatment with and without </span><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">periapical lesions. Iranian endodontic journal [Online]. 20= 07 [cited 2025 May 21]; </span><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-= height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'">13(3):1537</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+= Times New Roman'; letter-spacing:-0.05pt">=E2=80=93</span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'">42. Available f</span><= a href=3D"https://pubmed.ncbi.nlm.nih.gov/24348654/" target=3D"_blank" styl= e=3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'; color:#000000">rom: https://pubmed.ncbi.nlm.nih.gov/24= 348654/ </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'; color:#000000"> </span></a></p><p class=3D"stl01" style=3D"li= ne-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'">14. Marcoux E, Lagha AB, Gauthier P, Grenier D. Antimicrobial act= ivities of natural </span><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ">plant compounds against endodontic pathogens and biocompatibility with hu= man </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span c= lass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">gingival fibr= oblasts. Archives of Oral Biology [Online]. 2020 [cited 2025 May </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">21];116(104734). Available = from: </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New R= oman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a hr= ef=3D"https://www.sciencedirect.com/science/article/abs/pii/S00039969203011= 26?via%3Dihub" target=3D"_blank" style=3D"text-decoration:none"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000">ht= tps://www.sciencedirect.com/science/article/abs/pii/S0003996920301126?via%3= </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ; color:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><a href=3D"https://www.sciencedirect.com/science/article/abs/pii/S= 0003996920301126?via%3Dihub" target=3D"_blank" style=3D"text-decoration:non= e"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; col= or:#000000">Dihub </span><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'; color:#000000"> </span></a></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'">15. Bernal-Trevi=C3=B1o A, Gonz=C3=A1lez-Amaro AM, M=C3= =A9ndez Gonz=C3=A1lez V, Pozos-Guillen A. </span><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl= 01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'= MVNSWI+Times New Roman'">Frequency of Candida in root canals of teeth with = primary and persistent </span><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-h= eight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'">endodontic infections. Revista Iberoamericana de Micolog=C3=ADa [Onli= ne]. 2018 [cited </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:= 12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">= 2025 May 21];35(2):78</span><span class=3D"stl08" style=3D"font-family:'LVJ= FBB+Times New Roman'; letter-spacing:-0.05pt">=E2=80=93</span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">82. Available fro= m: </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a href= =3D"https://www.sciencedirect.com/science/article/abs/pii/S113014061830007X= ?via%3Dihub" target=3D"_blank" style=3D"text-decoration:none"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000">ht= tps://www.sciencedirect.com/science/article/abs/pii/S113014061830007X?via%3= </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ; color:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><a href=3D"https://www.sciencedirect.com/science/article/abs/pii/S= 113014061830007X?via%3Dihub" target=3D"_blank" style=3D"text-decoration:non= e"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; col= or:#000000">Dihub </span><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'; color:#000000"> </span></a></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'">16. Macedo-Ram=C3=ADrez YC, Mej=C3=ADa-Delgado EM. Efic= acia antif=C3=BAngica del extracto </span><span class=3D"stl08" style=3D"fo= nt-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" sty= le=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+= Times New Roman'">etan=C3=B3lico de Eucalyptus globulus sobre Candida albic= ans in vitro. Revista M=C3=A9dica </span><span class=3D"stl08" style=3D"fon= t-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" styl= e=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'">de Trujillo [Internet]. 2019 [citado 21 mayo 2025]; 14(2):= 79</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman= '">=E2=80=93</span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'">91. Disponible en: </span><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><a href=3D"https://revistas.unitru.edu.pe/index.php/R= MT/article/view/2391" target=3D"_blank" style=3D"text-decoration:none"><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000= 000">https://revistas.unitru.edu.pe/index.php/RMT/article/view/2391 </span>= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:= #000000"> </span></a></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">17. M= eccatti VM, De Carvalho LS. Endodontia e plantas Medicinais: Uma Revisao </= span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Integrativa. Arqu= ivos de Ci=C3=AAncias da Sa=C3=BAde da Unipar [Internet]. 2023 [citado 21 <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">mayo 2025]; 27(7)= :3330</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Ro= man'">=E2=80=93</span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">3342. Disponible en: </span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><a href=3D"https://revistas.unipar.br/index.php/s= aude/article/view/10161" target=3D"_blank" style=3D"text-decoration:none"><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#= 000000">https://revistas.unipar.br/index.php/saude/article/view/10161 </spa= n><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; colo= r:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-height:12p= t"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">18.= Calder=C3=B3n Augusto JCM, Cassana Rojas LR, Villar Zapata JC, Vel=C3=A1sq= uez Huam=C3=A1n </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+T= imes New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Z= . Terapia fotodin=C3=A1mica, una nueva tendencia en endodoncia para la elim= inaci=C3=B3n </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">del = Enterococcus faecalis. Revista Estomatol=C3=B3gica Herediana [Internet]. 20= 24 </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">[citado 7 mayo= 2025]; 34(1):77</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+T= imes New Roman'">=E2=80=93</span><span class=3D"stl08" style=3D"font-family= :'MVNSWI+Times New Roman'">84. Disponible en: </span><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D= "stl01" style=3D"line-height:12pt"><a href=3D"https://revistas.upch.edu.pe/= index.php/REH/article/view/5333" target=3D"_blank" style=3D"text-decoration= :none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman';= color:#000000">https://revistas.upch.edu.pe/index.php/REH/article/view/533= 3 </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '; color:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-hei= ght:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'">19. Cerna-Ch=C3=A1vez E, Alejandro-Rojas G, Ochoa-Fuentes YM, Aguirre-U= ribe L, </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Landeros-= Flores J, Hern=C3=A1ndez-Bautista O. Evaluaci=C3=B3n in vitro de principios= activos </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">de orige= n bot=C3=A1nico para el control de hongos fitopat=C3=B3genos. Scientia Fung= orum </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">[Internet]. = 2019 [citado 21 mayo 2025]; 49: e1245. Disponible en: </span><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p = class=3D"stl01" style=3D"line-height:12pt"><a href=3D"https://scientiafungo= rum.org.mx/index.php/micologia/article/view/e1245" target=3D"_blank" style= =3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'; color:#000000">https://scientiafungorum.org.mx/index.ph= p/micologia/article/view/e1245 </span><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'; color:#000000"> </span></a></p><p clas= s=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'">20. Moreno J, L=C3=B3pez G, Siche R. Model= ing, and optimization of extraction process of </span><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class= =3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-f= amily:'MVNSWI+Times New Roman'">eucalyptus essential oil (Eucalyptus globul= us). Scientia Agropecuaria [Online]. </span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP= +Times New Roman Italic'; font-size:8pt">Esta revista est=C3=A1 protegida b= ajo una licencia Creative Commons en la 4.0 </span><span class=3D"stl08" st= yle=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </= span></p><p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08"= style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">Inter= national. Copia de la licencia: </span><span class=3D"stl08" style=3D"font-= family:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </span></p><p = class=3D"stl01" style=3D"line-height:12pt"><a href=3D"http://creativecommon= s.org/licenses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoration:no= ne"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; fo= nt-size:8pt; color:#0563c1">http://creativecommons.org/licenses/by-nc-sa/4.= 0/ </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'; font-size:8pt; color:#0563c1"> </span></a></p><p class=3D"stl01" s= tyle=3D"line-height:11pt"><span class=3D"stl14" style=3D"font-family:'MSSKV= R+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">M a n e j= o</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-= size:11pt; letter-spacing:normal; color:#ffffff"> </span><span class= =3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-sp= acing:normal; 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hV30/iyXDMwAAAAASUVORK5CYII=3D" width=3D"628" height=3D"887" alt=3D"" style= =3D"position:absolute" /></span><span class=3D"stl07">ISSN: </span><span cl= ass=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#ff= ffff">2697-3391 </span><span class=3D"stl08" style=3D"font-family:'AAFSER+T= imes New Roman Bold'; color:#ffffff"> </span></p><p class=3D"stl01" st= yle=3D"line-height:12pt"><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 </spa= n><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'; colo= r:#ffffff">=E2=80=93 </span><span class=3D"stl07">44, julio - agosto 2025 <= /span><span class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"li= ne-height:12pt"><span class=3D"stl07">Revista en ciencias m=C3=A9dicas, sal= ud p=C3=BAblica </span><span class=3D"stl07"> </span></p><p class=3D"s= tl01" style=3D"line-height:12pt"><span class=3D"stl07">Art=C3=ADculo de rev= isi=C3=B3n bibliogr=C3=A1fica </span><span class=3D"stl07"> </span></p= ><p class=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl16">www.an= atomiadigital.org </span><span class=3D"stl16"> </span></p><p class=3D= "stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'">2010 [cited 2025 May 21]; 1(2):147</span><span= class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'">=E2=80=93</= span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">1= 54. Available from: </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><a href=3D"https://revistas.unitru.edu.pe/index.php/scientiaagrop/= article/view/27" target=3D"_blank" style=3D"text-decoration:none"><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000">= https://revistas.unitru.edu.pe/index.php/scientiaagrop/article/view/27 </sp= an><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; col= or:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-height:12= pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">21= . Villavicencio Capar=C3=B3 E, Alvear Cordero MC, Cuenca Leon K, Calderon C= uripoma </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New= Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">M, Palaci= os Vivar D, Alvarado Cordero A. Dise=C3=B1os de estudios cl=C3=ADnicos en <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">odontolog=C3=ADa.= Odontolog=C3=ADa Activa Revista Cient=C3=ADfica [Internet]. 2016 [citado 2= 1 </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">mayo 2025];1(2)= :81</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roma= n'">=E2=80=93</span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Time= s New Roman'">84. Disponible en: </span><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><a href=3D"https://oactiva.ucacue.edu.ec/index.php/oa= ctiva/article/view/163" target=3D"_blank" style=3D"text-decoration:none"><s= pan class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#0= 00000">https://oactiva.ucacue.edu.ec/index.php/oactiva/article/view/163 </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; co= lor:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-height:1= 2pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">2= 2. Villavicencio-Capar=C3=B3 E, Cuenca-Le=C3=B3n K, V=C3=A9lez-Le=C3=B3n EM= , Cabrera-Duffau A. </span><span class=3D"stl08" style=3D"font-family:'MVNS= WI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman= '">Pasos para la planificaci=C3=B3n de una investigaci=C3=B3n cl=C3=ADnica.= Odontolog=C3=ADa activa </span><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line= -height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'">[Internet]. 2015 [citado 21 mayo]; 1(1):72</span><span class=3D"stl= 08" style=3D"font-family:'LVJFBB+Times New Roman'">=E2=80=93</span><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">75. Disponible= en: </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a hre= f=3D"https://oactiva.ucacue.edu.ec/index.php/oactiva/article/view/186" targ= et=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08" style=3D= "font-family:'MVNSWI+Times New Roman'; color:#000000">https://oactiva.ucacu= e.edu.ec/index.php/oactiva/article/view/186 </span><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'; color:#000000"> </span></= a></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" s= tyle=3D"font-family:'MVNSWI+Times New Roman'">23. Villavicencio-Capar=C3=B3= E. =C2=BFC=C3=B3mo plantear las variables de una investigaci=C3=B3n?: </sp= an><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#x= a0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"= stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Operacionalizaci=C3= =B3n de las variables. Revista Odontolog=C3=ADa Activa [Internet]. 2019 </s= pan><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&#= xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D= "stl08" style=3D"font-family:'MVNSWI+Times New Roman'">[citado 21 mayo 2025= ]; 4(1):15-20. Disponible en: </span><span class=3D"stl08" style=3D"font-fa= mily:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D= "line-height:12pt"><a href=3D"https://oactiva.ucacue.edu.ec/index.php/oacti= va/article/view/289" target=3D"_blank" style=3D"text-decoration:none"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#0000= 00">https://oactiva.ucacue.edu.ec/index.php/oactiva/article/view/289 </span= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color= :#000000"> </span></a></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">24. = Haro-Gonz=C3=A1lez JN, Castillo-Herrera GA, Mart=C3=ADnez-Vel=C3=A1zquez M,= Espinosa- </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times = New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt">= <span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Andrew= s H. Clove essential oil (Syzygium aromaticum l. myrtaceae): Extraction, </= span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">&= #xa0;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">chemical composit= ion, food applications, and essential bioactivity for human </span><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span><= /p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'">health. Molecules [Online]. 2021= [cited 2025 May 21]; 26(21): 6387. Available </span><span class=3D"stl08" = style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D= "stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'">from: </span><a href=3D"https://pmc.ncbi.nlm.n= ih.gov/articles/PMC8588428/" target=3D"_blank" style=3D"text-decoration:non= e"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; col= or:#000000">https://pmc.ncbi.nlm.nih.gov/articles/PMC8588428/ </span><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#00000= 0"> </span></a></p><p class=3D"stl01" style=3D"line-height:12pt"><span= class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">25. Adum Li= pari MN, Cede=C3=B1o Molina ME. La bot=C3=A1nica como complemento en </span= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> = ;</span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'">emergencias odontol=C3= =B3gicas. Reincisol [Internet]. 2025 [citado 21 mayo 2025]; </span><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span><= /p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" styl= e=3D"font-family:'MVNSWI+Times New Roman'">4(7):1380</span><span class=3D"s= tl08" style=3D"font-family:'LVJFBB+Times New Roman'">=E2=80=93</span><span = class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">1396. Dispon= ible en: </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times Ne= w Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><a= href=3D"https://www.reincisol.com/ojs/index.php/reincisol/article/view/624= " target=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08" st= yle=3D"font-family:'MVNSWI+Times New Roman'; color:#000000">https://www.rei= ncisol.com/ojs/index.php/reincisol/article/view/624 </span><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000"> <= /span></a></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"= stl08" style=3D"font-family:'MVNSWI+Times New Roman'">26. Bokaeian M, Nakha= ee A, Moodi B, Ali Khazaei H. Eucalyptus globulus </span><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p clas= s=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'">(Eucalyptus) treatment of candidiasis in n= ormal and diabetic rats. Iranian </span><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">Biomedical Journal [Online]. 2010 [cited 2025 May 21]; 14(3= ):121-126. Available </span><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roma= n'">from: </span><a href=3D"https://pubmed.ncbi.nlm.nih.gov/21079663/" targ= et=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08" style=3D= "font-family:'MVNSWI+Times New Roman'; color:#000000">https://pubmed.ncbi.n= lm.nih.gov/21079663/ </span><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'; color:#000000"> </span></a></p><p class=3D"stl01= " style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'">27. Boukhatem MN, Boumaiza A, Nada HG, Rajabi M, Mou= sa SA. Eucalyptus </span><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height= :12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"= >globulus essential oil as a natural food preservative: antioxidant, antiba= cterial and </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">antif= ungal properties in vitro and in a real food matrix (orangina fruit juice).= </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= "> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Applied Sciences= [Online]. 2020 [cited 2025 May 21];10(16):5581. Available from: </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"https://ww= w.mdpi.com/2076-3417/10/16/5581" target=3D"_blank" style=3D"text-decoration= :none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman';= color:#000000">https://www.mdpi.com/2076-3417/10/16/5581 </span><span clas= s=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000">&= #xa0;</span></a></p><p class=3D"stl01" style=3D"line-height:12pt"><span cla= ss=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">28. Martinez-De= lgado AJ, Akemi Nakagoshi-Cepeda MA, L=C3=B3pez-</span><a href=3D"https://w= ww.scienceopen.com/search#author/f2e41bc5-7be8-4526-b0b1-443adaa9a0a6" targ= et=3D"_blank" style=3D"text-decoration:none"><span class=3D"stl08" style=3D= "font-family:'MVNSWI+Times New Roman'; color:#000000">Villarreal SM, </span= ><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color= :#000000"> </span></a></p><p class=3D"stl01" style=3D"line-height:12pt= "><a href=3D"https://www.scienceopen.com/search#author/f2e41bc5-7be8-4526-b= 0b1-443adaa9a0a6" target=3D"_blank" style=3D"text-decoration:none"><span cl= ass=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000"= >Villarreal-Garc=C3=ADa LE , </span></a><a href=3D"https://www.scienceopen.= com/search#author/d8e59c6a-326e-428a-af41-11799f87853d" target=3D"_blank" s= tyle=3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'M= VNSWI+Times New Roman'; color:#000000">Montoya-Rosales A, </span></a><a hre= f=3D"https://www.scienceopen.com/search#author/96959756-8bd8-461b-939d-7a5d= 43612065" target=3D"_blank" style=3D"text-decoration:none"><span class=3D"s= tl08" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000">Rodr=C3= =ADguez-Luis OE. </span></a><span class=3D"stl08" style=3D"font-family:'MVN= SWI+Times New Roman'">Pathogenesis and </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:'FP= LVOP+Times New Roman Italic'; font-size:8pt">Esta revista est=C3=A1 protegi= da bajo una licencia Creative Commons en la 4.0 </span><span class=3D"stl08= " style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"st= l08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">I= nternational. Copia de la licencia: </span><span class=3D"stl08" style=3D"f= ont-family:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"http://creativeco= mmons.org/licenses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoratio= n:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ; font-size:8pt; color:#0563c1">http://creativecommons.org/licenses/by-nc-s= a/4.0/ </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'; font-size:8pt; color:#0563c1"> </span></a></p><p class=3D"stl0= 1" style=3D"line-height:11pt"><span class=3D"stl14" style=3D"font-family:'M= SSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">M a n= e j o</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; f= ont-size:11pt; letter-spacing:normal; color:#ffffff"> </span><span cla= ss=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-= spacing:normal; color:#ffffff">C l =C3=AD n i c o </span><span class=3D"stl= 14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:n= ormal; color:#ffffff"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:11pt"><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font= -size:11pt; letter-spacing:normal; color:#ffffff">P =C3=A1 g i n a</span><s= pan class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; = letter-spacing:normal; color:#ffffff"> </span><span class=3D"stl47" st= yle=3D"letter-spacing:0.05pt">42 | 44 </span><span class=3D"stl47" style=3D= "letter-spacing:0.05pt"> </span></p><p style=3D"line-height:12pt"><a h= ref=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" target=3D"_blank"= style=3D"text-decoration:none"><img src=3D"data:image/png;base64,iVBORw0KG= goAAAANSUhEUgAAAnQAAANkCAYAAAA+yLfgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAA= DsQBlSsOGwAACFlJREFUeJztwTEBAAAAwqD1T20ND6AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= 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tion:absolute" /></span><span class=3D"stl07">ISSN: </span><span class=3D"s= tl08" style=3D"font-family:'AAFSER+Times New Roman Bold'; color:#ffffff">26= 97-3391 </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New= Roman Bold'; color:#ffffff"> </span></p><p class=3D"stl01" style=3D"l= ine-height:12pt"><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 </span><span = class=3D"stl08" style=3D"font-family:'LVJFBB+Times New Roman'; color:#fffff= f">=E2=80=93 </span><span class=3D"stl07">44, julio - agosto 2025 </span><s= pan class=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl07">Revista en ciencias m=C3=A9dicas, salud p=C3= =BAblica </span><span class=3D"stl07"> </span></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><span class=3D"stl07">Art=C3=ADculo de revisi=C3= =B3n bibliogr=C3=A1fica </span><span class=3D"stl07"> </span></p><p cl= ass=3D"stl01" style=3D"line-height:11pt"><span class=3D"stl16">www.anatomia= digital.org </span><span class=3D"stl16"> </span></p><p class=3D"stl01= " style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'">immunity of candida albicans in the oral mucosa. Lit= erature review. International </span><span class=3D"stl08" style=3D"font-fa= mily:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D= "line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times= New Roman'">Journal of Odontostomatology [Online]. 2024 [cited 2025 May 21= ]; 18(4):443</span><span class=3D"stl08" style=3D"font-family:'LVJFBB+Times= New Roman'">=E2=80=93</span><span class=3D"stl08" style=3D"font-family:'MV= NSWI+Times New Roman'">449. </span><span class=3D"stl08" style=3D"font-fami= ly:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"l= ine-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'">Available from: </span><a href=3D"https://www.scienceopen.com/do= cument?vid=3Db3119a30-fe30-4ec8-93cd-a8bd566185cc" target=3D"_blank" style= =3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'; color:#000000">https://www.scienceopen.com/document?vid= =3Db3119a30-fe30- </span><span class=3D"stl08" style=3D"font-family:'MVNSWI= +Times New Roman'; color:#000000"> </span></a></p><p class=3D"stl01" s= tyle=3D"line-height:12pt"><a href=3D"https://www.scienceopen.com/document?v= id=3Db3119a30-fe30-4ec8-93cd-a8bd566185cc" target=3D"_blank" style=3D"text-= decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'; color:#000000">4ec8-93cd-a8bd566185cc </span><span class=3D"stl0= 8" style=3D"font-family:'MVNSWI+Times New Roman'; color:#000000"> </sp= an></a></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl= 08" style=3D"font-family:'MVNSWI+Times New Roman'">29. Elangovan S, Mudgil = P. Antibacterial properties of eucalyptus globulus essential oil </span><sp= an class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </s= pan></p><p class=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08"= style=3D"font-family:'MVNSWI+Times New Roman'">against MRSA: a systematic = review. Antibiotics [Online]. 2023 [cited 2025 May </span><span class=3D"st= l08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p cla= ss=3D"stl01" style=3D"line-height:12pt"><span class=3D"stl08" style=3D"font= -family:'MVNSWI+Times New Roman'">21]; 12(3):474. Available from: </span><a= href=3D"https://www.mdpi.com/2079-6382/12/3/474" target=3D"_blank" style= =3D"text-decoration:none"><span class=3D"stl08" style=3D"font-family:'MVNSW= I+Times New Roman'; color:#000000">https://www.mdpi.com/2079-6382/12/3/474 = </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman';= color:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-heigh= t:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ">30. Barbosa JP, Rossini de Oliveira T, Penteado Bragado Puppin DG, Laerte= Teixeira </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times N= ew Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><= span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">A, Cl= =C3=A1udia Boni G, Busato de Feiria SN, et al. Anti-candida activity of ess= ential </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'"> </span></p><p class=3D"stl01" style=3D"line-height:12pt"><spa= n class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">oils from = eucalyptus species. A preliminary study. Advances in Dentistry & Oral <= /span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">=  </span></p><p class=3D"stl01" style=3D"line-height:12pt"><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'">Health [Online]. = 2018 [cited 2025 May 21];8(2): 555740. Available from: </span><span class= =3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'"> </span></p>= <p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"https://juniperpub= lishers.com/adoh/ADOH.MS.ID.555740.php" target=3D"_blank" style=3D"text-dec= oration:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'; color:#000000">https://juniperpublishers.com/adoh/ADOH.MS.ID.555740= .php </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Ro= man'; color:#000000"> </span></a></p><p class=3D"stl01" style=3D"line-= height:8pt"><span class=3D"stl08" style=3D"font-family:'FPLVOP+Times New Ro= man Italic'; font-size:8pt">Esta revista est=C3=A1 protegida bajo una licen= cia Creative Commons en la 4.0 </span><span class=3D"stl08" style=3D"font-f= amily:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </span></p><p c= lass=3D"stl01" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"fon= t-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">International. 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old'; color:#ffffff"> </span></p><p class=3D"stl01" style=3D"line-heig= ht:12pt"><span class=3D"stl07">Vol. 8 No. 3.2, pp. 29 </span><span class=3D= "stl08" style=3D"font-family:'LVJFBB+Times New Roman'; color:#ffffff">=E2= =80=93 </span><span class=3D"stl07">44, julio - agosto 2025 </span><span cl= ass=3D"stl07"> </span></p><p class=3D"stl01" style=3D"line-height:12pt= "><span class=3D"stl07">Revista en ciencias m=C3=A9dicas, salud p=C3=BAblic= a </span><span class=3D"stl07"> </span></p><p class=3D"stl01" style=3D= "line-height:12pt"><span class=3D"stl07">Art=C3=ADculo de revisi=C3=B3n bib= liogr=C3=A1fica </span><span class=3D"stl07"> </span></p><p class=3D"s= tl01" style=3D"line-height:11pt"><span class=3D"stl16">www.anatomiadigital.= org </span><span class=3D"stl16"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">El art=C3=ADculo que se publica es de exclusiva responsabil= idad de los autores y no </span><span class=3D"stl08" style=3D"font-family:= 'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style=3D"line= -height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'">necesariamente reflejan el pensamiento de la </span><span class=3D"= stl08" style=3D"font-family:'AAFSER+Times New Roman Bold'">Revista Anatom= =C3=ADa Digital. </span><span class=3D"stl08" style=3D"font-family:'AAFSER+= Times New Roman Bold'"> </span></p><p class=3D"stl01" style=3D"line-he= ight:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Rom= an'">El art=C3=ADculo queda en propiedad de la revista y, por tanto, su pub= licaci=C3=B3n parcial y/o total </span><span class=3D"stl08" style=3D"font-= family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl01" style= =3D"line-height:12pt"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Ti= mes New Roman'">en otro medio tiene que ser autorizado por el director de l= a </span><span class=3D"stl08" style=3D"font-family:'AAFSER+Times New Roman= Bold'">Revista Anatom=C3=ADa Digital</span><span class=3D"stl08" style=3D"= font-family:'MVNSWI+Times New Roman'">. </span><span class=3D"stl08" style= =3D"font-family:'MVNSWI+Times New Roman'"> </span></p><p class=3D"stl0= 1" style=3D"line-height:8pt"><span class=3D"stl08" style=3D"font-family:'FP= LVOP+Times New Roman Italic'; font-size:8pt">Esta revista est=C3=A1 protegi= da bajo una licencia Creative Commons en la 4.0 </span><span class=3D"stl08= " style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt"> = 0;</span></p><p class=3D"stl01" style=3D"line-height:8pt"><span class=3D"st= l08" style=3D"font-family:'FPLVOP+Times New Roman Italic'; font-size:8pt">I= nternational. Copia de la licencia: </span><span class=3D"stl08" style=3D"f= ont-family:'FPLVOP+Times New Roman Italic'; font-size:8pt"> </span></p= ><p class=3D"stl01" style=3D"line-height:12pt"><a href=3D"http://creativeco= mmons.org/licenses/by-nc-sa/4.0/" target=3D"_blank" style=3D"text-decoratio= n:none"><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New Roman'= ; font-size:8pt; color:#0563c1">http://creativecommons.org/licenses/by-nc-s= a/4.0/ </span><span class=3D"stl08" style=3D"font-family:'MVNSWI+Times New = Roman'; font-size:8pt; color:#0563c1"> </span></a></p><p class=3D"stl0= 1" style=3D"line-height:11pt"><span class=3D"stl14" style=3D"font-family:'M= SSKVR+Calibri'; font-size:11pt; letter-spacing:normal; color:#ffffff">M a n= e j o</span><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; f= ont-size:11pt; letter-spacing:normal; color:#ffffff"> </span><span cla= ss=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-= spacing:normal; color:#ffffff">C l =C3=AD n i c o </span><span class=3D"stl= 14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; letter-spacing:n= ormal; color:#ffffff"> </span></p><p class=3D"stl01" style=3D"line-hei= ght:11pt"><span class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font= -size:11pt; letter-spacing:normal; color:#ffffff">P =C3=A1 g i n a</span><s= pan class=3D"stl14" style=3D"font-family:'MSSKVR+Calibri'; font-size:11pt; = letter-spacing:normal; color:#ffffff"> </span><span class=3D"stl47" st= yle=3D"letter-spacing:0.05pt">44 | 44 </span><span class=3D"stl47" style=3D= "letter-spacing:0.05pt"> </span></p><p style=3D"line-height:12pt"><a h= ref=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" target=3D"_blank"= style=3D"text-decoration:none"><img src=3D"data:image/png;base64,iVBORw0KG= goAAAANSUhEUgAAAnQAAANkCAYAAAA+yLfgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAA= DsQBlSsOGwAACFlJREFUeJztwTEBAAAAwqD1T20ND6AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAA4NMASpMAAcDRMVoAAAAASUVORK5CYII=3D" width=3D"628" height=3D"868" = alt=3D"" /><span class=3D"stlalink"> </span></a></p></div></div></body></ht= ml>