Synthesis of magnetic responsive poly(NIPAAm-co-VSA)/Fe3O4 IPN ferrogels and modeling their deswelling and heating behaviors under AMF by using artificial neural networks

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dc.authoridERDOGAN, AHMET/0000-0001-8349-0006
dc.authoridDAŞKIN, Mahmut/0000-0001-7777-1821
dc.authorwosidERDOGAN, AHMET/AAT-4506-2021
dc.authorwosidDAŞKIN, Mahmut/AAT-4529-2021
dc.contributor.authorBoztepe, Cihangir
dc.contributor.authorDaskin, Mahmut
dc.contributor.authorErdogan, Ahmet
dc.date.accessioned2024-08-04T20:51:44Z
dc.date.available2024-08-04T20:51:44Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractSynthesis of stimuli-responsive hydrogels and modeling their behaviors under stimulus are very important for the use of smart materials in biomedical applications. In the present study, magnetic field responsive and novel poly (N-Isopropylacrylamide-co-Vinylsulfonic acid)/Fe3O4 interpenetrating polymer network (poly(NIPAAm-coVSA)/Fe3O4 IPN) hydrogel composite (ferrogel) series were successfully synthesized. Firstly, temperature responsive poly(NIPAAm-co-VSA) IPN hydrogels containing various amount of vinylsulfonic acid (VSA) were synthesized by two polymerization method: emulsion and solution polymerization. Then, Fe3O4 nanoparticles were loaded to hydrogel systems through in situ reduction of Fe2+/Fe3+ ions. Their chemical structures, magnetic properties and surface morphologies were characterized by FT-IR, VSM and SEM analysis techniques. The effects of the VSA content in ferrogel composition on deswelling and heating behavior of ferrogels under various of alternating magnetic fields (AMFs) were experimentally investigated. In order to characterize their heating and deswelling behaviors by magnetic induction heating, heating and deswelling kinetics under 1.37, 1.64 and 1.91 mT magnetic fields were investigated. Their fully swollen states showed complex deswelling and heating behaviors. Artificial neural networks (ANNs) in MATLAB were used to model these behaviors. The ANN models which associated input variables, were able to accurately predict complex deswelling and heating behaviors of magnetic field-responsive poly(NIPAAm-co-VSA)/(FeO4)-O-3 IPN hydrogel composites.en_US
dc.description.sponsorshipInonu University Research Fund [FCD-2020-1991]en_US
dc.description.sponsorshipThis study was supported by the Inonu University Research Fund [Project number: FCD-2020-1991] .en_US
dc.identifier.doi10.1016/j.reactfunctpolym.2022.105219
dc.identifier.issn1381-5148
dc.identifier.issn1873-166X
dc.identifier.scopus2-s2.0-85125496449en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.reactfunctpolym.2022.105219
dc.identifier.urihttps://hdl.handle.net/11616/100508
dc.identifier.volume173en_US
dc.identifier.wosWOS:000786666400010en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofReactive & Functional Polymersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFerrogelsen_US
dc.subjectMagnetic induction heatingen_US
dc.subjectStimuli-responsive hydrogelsen_US
dc.subjectModelingen_US
dc.subjectANNen_US
dc.titleSynthesis of magnetic responsive poly(NIPAAm-co-VSA)/Fe3O4 IPN ferrogels and modeling their deswelling and heating behaviors under AMF by using artificial neural networksen_US
dc.typeArticleen_US

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