Synthesis of drug carrier smart ferrogels and application of artificial neural network in modeling their doxorubicin release behavior under alternating magnetic fields

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dc.authoridBoztepe, Cihangir/0000-0001-5019-2010
dc.contributor.authorBoztepe, Cihangir
dc.contributor.authorVanli, Tugce
dc.date.accessioned2024-08-04T20:54:28Z
dc.date.available2024-08-04T20:54:28Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe development of magnetic field-sensitive smart drug delivery systems with superior properties has become an area of increasing academic and industrial importance. In this study, smart poly(NIPAAm-co-VSA)-rGO/Fe3O4 ferrogels with varying concentrations of reduced graphene oxide (rGO) were synthesized. Fe3O4 nanoparticles loaded ferrogels were obtained by the in situ reduction of Fe ions. The morphologic, structural, and magnetic properties of ferrogel systems were characterized. Doxorubicin (DOX) was loaded to the synthesized ferrogels by solution impregnation method and their heating and drug release behavior over time under alternating magnetic field AMFs of 1.37, 1.64, and 1.91 millitesla (mT) were investigated. The drug loading and releasing characteristics of the ferrogel series were calculated. When the experimental results were examined, it was determined that the amount of rGO in the structure of the developed ferrogel systems had a very high effect on the magnetic, heating, and drug loading-release characteristics of the ferrogels. To modeling their multivariable DOX release behavior, artificial neural network modeling technique was used. Calculated model performance parameters have shown that this developed artificial intelligence technique has great success in modeling complex and nonlinear DOX release behaviors.en_US
dc.description.sponsorshipInonu University Research Fund [FYL-2021-2806]en_US
dc.description.sponsorshipACKNOWLEDGMENTS This study was supported by the Inonu University Research Fund [Project number: FYL-2021-2806].en_US
dc.identifier.doi10.1002/pen.26404
dc.identifier.endpage2794en_US
dc.identifier.issn0032-3888
dc.identifier.issn1548-2634
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85163023225en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage2777en_US
dc.identifier.urihttps://doi.org/10.1002/pen.26404
dc.identifier.urihttps://hdl.handle.net/11616/101428
dc.identifier.volume63en_US
dc.identifier.wosWOS:001011950100001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofPolymer Engineering and Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANNen_US
dc.subjectcontrolled drug releaseen_US
dc.subjectinduction heatingen_US
dc.subjectmagnetic field-responsive hydrogelsen_US
dc.subjectsoft magnetic materialsen_US
dc.titleSynthesis of drug carrier smart ferrogels and application of artificial neural network in modeling their doxorubicin release behavior under alternating magnetic fieldsen_US
dc.typeArticleen_US

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