Optimization of Sodium Alginate?Graphene Nanoplate?Kaolin Bio?composite Adsorbents in Heavy Metal Adsorption by Response Surface Methodology (RSM)

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dc.authorid0000-0003-0509-8425en_US
dc.authorscopusid55255229000en_US
dc.authorwosid-en_US
dc.contributor.authorÜnügül, Tuba
dc.contributor.authorNigiz, Filiz Uğur
dc.date.accessioned2022-06-15T11:40:44Z
dc.date.available2022-06-15T11:40:44Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Kimya Mühendisliği Bölümü
dc.description.abstractIn this study, graphene nanoplate-kaolin-sodium alginate (GKS) bio-composite adsorbent was prepared, and the copper removal from wastewater by the adsorption method was investigated. Characterization of adsorbent was carried out using a scanning electron microscope, Fourier transforms infrared spectroscopy, and thermo-gravimetric analysis methods. In addition to the parametric adsorption studies, experimental optimization was also applied with parameters determined by the central composite design of response surface methodology (RSM). Effects of copper concentration (from 10 to 50 ppm), pH (from 3 to 7), and adsorption dosage (from 0.05 to 0.15 g/L) were investigated to determine the optimum design points. In order to determine the efficiency of heavy metal adsorption, four experimental parameters (adsorbent dosage, metal concentration, pH, and contact time) were evaluated. As a result, the highest removal of 92.12% was obtained when the heavy metal concentration was 10 mg/L, the adsorbent dosage was 0.15 g, the solution pH was 7, and the contact time was 180 min. Adsorption isotherm studies were also carried out. The appropriate adsorption isotherm for copper removal using GKS was determined as Langmuir isotherm. According to the optimization results, the quadratic model with an R2 of 0.9946 was found to be the most suitable model.en_US
dc.identifier.citationÜnügül, T., & Nigiz, F. U. (2022). Optimization of Sodium Alginate-Graphene Nanoplate-Kaolin Bio-composite Adsorbents in Heavy Metal Adsorption by Response Surface Methodology (RSM). Arabian Journal for Science and Engineering, 47(5), 6001–6012. https://doi.org/10.1007/s13369-021-05905-zen_US
dc.identifier.doi10.1007/s13369-021-05905-z
dc.identifier.endpage6012en_US
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85108826717
dc.identifier.startpage6001en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-021-05905-z
dc.identifier.urihttps://hdl.handle.net/20.500.12428/3585
dc.identifier.volume47en_US
dc.identifier.wosWOS:000666937500002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorNigiz, Filiz Uğur
dc.language.isoen
dc.publisherSpringeren_US
dc.relation.ispartofArabian Journal for Science and Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBatch Adsorptionen_US
dc.subjectBio-Composite Adsorbenten_US
dc.subjectExperimental Designen_US
dc.subjectHeavy Metal Removalen_US
dc.titleOptimization of Sodium Alginate?Graphene Nanoplate?Kaolin Bio?composite Adsorbents in Heavy Metal Adsorption by Response Surface Methodology (RSM)
dc.typeArticle

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