Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/47399
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dc.contributor.authorAcikbas Y.-
dc.contributor.authorErdogan M.-
dc.contributor.authorCapan R.-
dc.contributor.authorOzkaya Erdogan C.-
dc.contributor.authorBaygu Y.-
dc.contributor.authorKabay N.-
dc.contributor.authorGök Y.-
dc.date.accessioned2023-01-09T21:24:21Z-
dc.date.available2023-01-09T21:24:21Z-
dc.date.issued2022-
dc.identifier.issn2190-5509-
dc.identifier.urihttps://doi.org/10.1007/s13204-022-02749-3-
dc.identifier.urihttps://hdl.handle.net/11499/47399-
dc.descriptionArticle; Early Accessen_US
dc.description.abstractPhthalocyanines (Pcs), among synthetic macrocyclic structures, have recently been preferred sensing materials for harmful vapor detection owing to their attractive properties, such as chemical stability and highly thermal, and good production as nano-thin film layers and their ?-electron conjugated system. Herein, phthalocyanine–zinc(II)-based (ZnPc) Langmuir–Blodgett (LB) nanothin films were produced and characterized by UV–Visible spectrophotometer and Surface Plasmon Resonance (SPR) technique. The gas-sensing and optical properties of these ZnPc nanothin films were also investigated by SPR method. The optical properties of ZnPc LB films with varied numbers of layers were also expressed with this study. The refracting index values of ZnPc LB film layers were identified between 1.43 and 1.73 for the thicknesses of 3.7 and 12.6 nm with linear regression of 0.9926 by fitting SPR experimental data. The basic host–guest interaction principle was used to investigate the response of phthalocyanine–zinc(II)-based optical sensors against to the selected alcohol and ketone vapors. These kinetic data were performed by employing Fick’s diffusion equation to study the swelling dynamics’ ZnPC nanothin films. To prove the efficiency of the experiments, the experimental data were modeled with the well-known deep learning models. The experimental data set is split into two sections: the training and test part. The 83% amount of data is operated to train the deep learning models and the remaining 17% samples of data are operated to observe the developed models prediction performance. © 2022, Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofApplied Nanoscience (Switzerland)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNanothin filmen_US
dc.subjectNeural networksen_US
dc.subjectOptical sensoren_US
dc.subjectSPRen_US
dc.subjectSwelling dynamicsen_US
dc.subjectZinc(II)–phthalocyanineen_US
dc.subjectChemical detectionen_US
dc.subjectChemical sensorsen_US
dc.subjectChemical stabilityen_US
dc.subjectFilm preparationen_US
dc.subjectKetonesen_US
dc.subjectOptical filmsen_US
dc.subjectOptical propertiesen_US
dc.subjectOptical sensorsen_US
dc.subjectSurface plasmon resonanceen_US
dc.subjectSwellingen_US
dc.subjectThin film transistorsen_US
dc.subjectThin filmsen_US
dc.subjectZinc compoundsen_US
dc.subjectGas sensing propertiesen_US
dc.subjectLearning modelsen_US
dc.subjectMacrocyclic structureen_US
dc.subjectNano-thin filmsen_US
dc.subjectNeural-networksen_US
dc.subjectOptical sensing propertiesen_US
dc.subjectSensing materialen_US
dc.subjectSurface-plasmon resonanceen_US
dc.subjectSwelling dynamicen_US
dc.subjectZinc(II)–phthalocyanineen_US
dc.subjectDeep learningen_US
dc.titlePreparation and characterization of the phthalocyanine–zinc(II) complex-based nanothin films: optical and gas-sensing propertiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s13204-022-02749-3-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid16244223000-
dc.authorscopusid7005530172-
dc.authorscopusid6701630452-
dc.authorscopusid57672269600-
dc.authorscopusid55388209500-
dc.authorscopusid9251050200-
dc.authorscopusid7005138866-
dc.identifier.scopus2-s2.0-85144518403en_US
dc.identifier.wosWOS:000901971600001en_US
dc.identifier.scopusqualityQ2-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept38.02. Reservation of Ownership and Security-
crisitem.author.dept20.03. Biomedical Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Tavas Meslek Yüksekokulu Koleksiyonu
Teknoloji Fakültesi Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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