A novel weighted mean-squared error optimization model to obtain optimal conditions of adsorption factors for a lead removal process

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dc.contributor.authorOzdemir, Akin
dc.contributor.authorTeke, Cagatay
dc.contributor.authorSerencam, Huseyin
dc.contributor.authorUcurum, Metin
dc.contributor.authorGundogdu, Ali
dc.date.accessioned2024-10-04T18:48:08Z
dc.date.available2024-10-04T18:48:08Z
dc.date.issued2021
dc.departmentBayburt Üniversitesien_US
dc.description.abstractLead (Pb) removal process from wastewater is an important issue to prevent health problems for people. For this particular purpose, a low-cost adsorbent may be beneficial for improving the adsorption capacity for the Pb removal process. The aims of this paper are four-fold. First of all, a D-optimal experimental design was selected to reduce experimental runs and its cost. Second, the effect of four adsorption design factors, stirring speed (rpm), adsorbent dosage (g), pH level, and initial metal concentration (ppm), was examined. Also, the yellow natural stone, which is from Bayburt, Turkey, was used as a cheap adsorbent for the Pb removal process from the solution. Third, a novel weighted mean-squared error optimization model was developed to obtain optimal adsorption levels for adsorption factors. Besides, a verification study was conducted to verify the results of the adsorption experiment. Finally, the lead (Pb( II)) removal capacity of the yellow Bayburt stone was obtained to be 46.031 mg/g, and the results of the experiment from the proposed methodology showed a good performance for the removal study.en_US
dc.identifier.doi10.5004/dwt.2021.26966
dc.identifier.endpage302en_US
dc.identifier.issn1944-3994
dc.identifier.issn1944-3986
dc.identifier.scopus2-s2.0-85104388066en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage294en_US
dc.identifier.urihttps://doi.org/10.5004/dwt.2021.26966
dc.identifier.urihttp://hdl.handle.net/20.500.12403/2924
dc.identifier.volume218en_US
dc.identifier.wosWOS:000651076400027en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherDesalination Publen_US
dc.relation.ispartofDesalination and Water Treatmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAdsorptionen_US
dc.subjectLeaden_US
dc.subjectD-optimal experimental designen_US
dc.subjectOptimizationen_US
dc.subjectWastewater treatmenten_US
dc.titleA novel weighted mean-squared error optimization model to obtain optimal conditions of adsorption factors for a lead removal processen_US
dc.typeArticleen_US

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