Modeling of drug release behavior of pH and temperature sensitive poly(NIPAAm-co-AAc) IPN hydrogels using response surface methodology and artificial neural networks

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dc.authoridKünkül, Asım/0000-0002-6080-2588
dc.authoridYuceer, Mehmet/0000-0002-2648-3931
dc.authoridBoztepe, Cihangir/0000-0001-5019-2010
dc.authorwosidBoztepe, Cihangir/H-5877-2018
dc.authorwosidKünkül, Asım/ABG-8608-2020
dc.authorwosidYuceer, Mehmet/E-5110-2012
dc.contributor.authorBrahima, Sanogo
dc.contributor.authorBoztepe, Cihangir
dc.contributor.authorKunkul, Asim
dc.contributor.authorYuceer, Mehmet
dc.date.accessioned2024-08-04T20:43:00Z
dc.date.available2024-08-04T20:43:00Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description.abstractAn interpenetrated polymer network (IPN) poly(NIPAAm-co-AAc) hydrogel was synthesized by two polymerization method: emulsion and solution polymerization. The pH- and temperature-sensitive hydrogel was loaded by swelling with riboflavin drug, a B2 vitamin.The release of riboflavin as a function of time has been achieved under different pH and temperature environments. The determination of experimental conditions and the analysis of drug delivery results were achieved using response surface methodology (RSM). In this work, artificial neural networks (ANNs) in MATLAB were also used to model the release data. The predictions from the ANN model, which associated input variables, produced results showing good agreement with experimental data compared to the RSM results. (C) 2017 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipInonu University Research Fund [I.U.B.A.P. 2015-22]en_US
dc.description.sponsorshipThis work was supported by the Inonu University Research Fund [project number: I.U.B.A.P. 2015-22].en_US
dc.identifier.doi10.1016/j.msec.2017.02.081
dc.identifier.endpage432en_US
dc.identifier.issn0928-4931
dc.identifier.issn1873-0191
dc.identifier.pmid28415481en_US
dc.identifier.scopus2-s2.0-85013287708en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage425en_US
dc.identifier.urihttps://doi.org/10.1016/j.msec.2017.02.081
dc.identifier.urihttps://hdl.handle.net/11616/97697
dc.identifier.volume75en_US
dc.identifier.wosWOS:000400720800048en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofMaterials Science and Engineering C-Materials For Biological Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSmart hydrogelen_US
dc.subjectIPNen_US
dc.subjectDrug releaseen_US
dc.subjectRSMen_US
dc.subjectANNen_US
dc.titleModeling of drug release behavior of pH and temperature sensitive poly(NIPAAm-co-AAc) IPN hydrogels using response surface methodology and artificial neural networksen_US
dc.typeArticleen_US

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