Fe3O4 supported UiO-66 (Zr) metal-organic framework for removal of drug contaminants from water: fuzzy logic modeling approach

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dc.contributor.authorCavusoglu, Civan Ferda
dc.contributor.authorOzcelik, Guelsuem
dc.contributor.authorOzbek, Cengiz
dc.contributor.authorOzkara-Aydinoglu, Seyma
dc.contributor.authorBayazit, Sahika Sena
dc.date.accessioned2024-03-13T10:30:51Z
dc.date.available2024-03-13T10:30:51Z
dc.date.issued2023
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractThe increase in production and consumption of pharmaceuticals and personal care products causes environmental problems. In this study, naproxen and clofibric acid adsorption were studied using Fe3O4-supported UiO-66 (Zr) metal-organic framework (Mag-UiO-66). The adsorption processes were carried out in batch mode at pH value 3.0. The optimum adsorbent quantities, equilibrium periods, pseudo-first-order (PFO), pseudo-second-order (PSO), and intra-particles diffusion kinetic models were calculated. Non-linear Langmuir, Freundlich, Dubinin-Radushkevich (D-R), and Sips isotherm equations were applied to experimental data. Thermodynamic analyses of naproxen and clofibric acid adsorption were also carried out in this study. The Langmuir isotherm q(m) values were found as 14.15 mg/g for naproxen at 308 K and 41.87 mg/g for clofibric acid at 298 K. Both of the adsorption processes were exothermic. MISO (multi-input single-output) fuzzy logic models for removal of both naproxen and clofibric acid adsorptions were designed based on the experimental data to estimate the removal uptake values. It is noteworthy that the results obtained through designed fuzzy logic models matched well with the experimental data and the findings of this study emphasize the validity of designed fuzzy logic models.en_US
dc.description.sponsorshipBeykent University Research Fund [2018-19-BAP-10]en_US
dc.description.sponsorshipThis research has been supported by Beykent University Research Fund through Project number 2018-19-BAP-10.en_US
dc.identifier.doi10.1007/s11356-023-25378-x
dc.identifier.endpage44352en_US
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue15en_US
dc.identifier.pmid36692720en_US
dc.identifier.scopus2-s2.0-85146795756en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage44337en_US
dc.identifier.urihttps://doi.org/10.1007/s11356-023-25378-x
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3556
dc.identifier.volume30en_US
dc.identifier.wosWOS:000922314300003en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofEnvironmental Science And Pollution Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMetal-organic frameworksen_US
dc.subjectUiO-66en_US
dc.subjectMagnetic MOFsen_US
dc.subjectNaproxenen_US
dc.subjectClofibric aciden_US
dc.subjectFuzzy logic modelingen_US
dc.titleFe3O4 supported UiO-66 (Zr) metal-organic framework for removal of drug contaminants from water: fuzzy logic modeling approachen_US
dc.typeArticleen_US

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