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dc.creatorĐekić, Ljiljana
dc.creatorIbrić, Svetlana
dc.creatorPrimorac, Marija
dc.date.accessioned2019-09-02T11:14:29Z
dc.date.available2019-09-02T11:14:29Z
dc.date.issued2008
dc.identifier.issn0378-5173
dc.identifier.urihttp://farfar.pharmacy.bg.ac.rs/handle/123456789/1112
dc.description.abstractThe objective of this study was to develop artificial neural network (ANN) model suitable to predict successfully the borders of the microemulsion region in the quaternary system PEG-8 caprylic/capric glycerides (Labrasol (R)/cosurfactant/isopropyl myristate/water, in order to minimise experimental effort. In our preliminary investigations of phase behaviour, two cosurfactants were used, PEG-40 hydrogenated castor oil (Cremophor (R) RH 40) and polyglyceryl-6 isostearate (Plurol Isostearique (R)). Microemulsion existance area in pseudo-ternary phase diagrams was determined using titration method at constant: (a) oil-to-water ratio (alpha = 50%, w/w); (b) surfactant-to-cosurfactant ratio (Km) 4:6;en
dc.publisherElsevier Science BV, Amsterdam
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/142071/RS//
dc.rightsrestrictedAccess
dc.sourceInternational Journal of Pharmaceutics
dc.subjectartificial neural networksen
dc.subjectphase behaviouren
dc.subjectmicroemulsionsen
dc.subjectLabrasol (R)en
dc.subjectCremophor (R) RH 40en
dc.subjectPlural Isostearique (R)en
dc.titleThe application of artificial neural networks in the prediction of microemulsion phase boundaries in PEG-8 caprylic/capric glycerides based systemsen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractПриморац, Марија; Ђекић, Љиљана; Ибрић, Светлана;
dc.citation.volume361
dc.citation.issue1-2
dc.citation.spage41
dc.citation.epage46
dc.citation.other361(1-2): 41-46
dc.citation.rankM22
dc.identifier.wos000258803600007
dc.identifier.doi10.1016/j.ijpharm.2008.05.002
dc.identifier.pmid18571348
dc.identifier.scopus2-s2.0-48049087191
dc.identifier.rcubconv_2048
dc.type.versionpublishedVersion


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