An optimization study on solid lipid nanoparticles using artificial neural network

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dc.contributor.authorYurdasiper, Aysu
dc.contributor.authorAksu, Buket
dc.contributor.authorOkur, Neslihan U.
dc.contributor.authorGökçe, Evren H.
dc.date.accessioned2021-05-15T12:36:50Z
dc.date.available2021-05-15T12:36:50Z
dc.date.issued2017
dc.departmentEczacılık Fakültesien_US
dc.descriptionAksu, Buket/0000-0001-7555-0603; Okur, Neslihan Ustundag/0000-0002-3210-3747
dc.description.abstractCommon use of supportive programs in finding the best in R&D studies provides positive results and thus ensures benefits to companies in terms of cost and time. The aim of this work was to develop, evaluate and optimize solid lipid nanoparticles (SLNs) formulations by applying the artificial neural network (ANN) programme to achieve the best combination of materials. SLNs have been produced by high-pressure homogenization, and the formulations have been characterized for their mean particle size, polydispersity index and zeta potential. SLN formulations were evaluated with INForm V5.1 program to optimize the best-fit formulation. According to ANN evaluation, S-PT8 formulation including 50% Compritol 888 ATO, 38% Poloxamer 188 and 12% Tween 80 mixture was found to be the most promising formulation in terms of parameters tested. It has been shown that artificial intelligence could be used to improve our understanding of the critical quality parameters that contribute to the overall quality of the drug product.en_US
dc.description.sponsorshipTUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [112S292]en_US
dc.description.sponsorshipThis study was supported by TUBITAK Projects No: 112S292. The authors would like to thank to Ege University, Faculty of Pharmacy, Pharmaceutical Sciences Research Center (FABAL).en_US
dc.identifier.endpage121en_US
dc.identifier.issn0326-2383
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85002374011
dc.identifier.scopusqualityQ4
dc.identifier.startpage115en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/414
dc.identifier.volume36en_US
dc.identifier.wosWOS:000399260300016
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAksu, Buket
dc.language.isoen
dc.publisherColegio Farmaceuticos Provincia De Buenos Airesen_US
dc.relation.ispartofLatin American Journal of Pharmacy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectOptimizationen_US
dc.subjectPharmaceutical Developmenten_US
dc.subjectSolid Lipid Nanoparticles (SLNs)en_US
dc.titleAn optimization study on solid lipid nanoparticles using artificial neural network
dc.typeArticle

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