Targeted boron removal from highly-saline and boron-spiked seawater using magnetic nanobeads: Chemometric optimisation and modelling studies

dc.contributor.authorOladipo, Akeem Adeyemi
dc.contributor.authorGazi, Mustafa
dc.date.accessioned2026-02-06T18:37:23Z
dc.date.issued2017
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractChitosan-based magnetic nanobeads (CBN) were facilely synthesised and applied for selective recovery of boron from highly-saline wastewater. The CBN was characterised, and the results showed that the nanobeads are thermally and mechanically stable to withstand deterioration, had a saturation magnetisation of 65.25 emu/g, the surface area of 635 m(2)/g and nanobeads size of similar to 2.6-3.8 nm. An artificial neural network (ANN) model and Box-Behnken design (BBD) were developed and applied to study the relative effect and significance of input variables affecting boron sorption. Under optimised conditions, 89, 78 and 70% boron removal efficiencies were recorded at pH 7.0 in distilled water, highly-saline water and boron-spiked seawater respectively. The combination of intraparticle diffusion model and pseudo-second-order rate equation was applicable to describe the sorption kinetics. (C) 2017 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
dc.description.sponsorshipScientific and Technical Research Council of Turkey (TUBITAK 1001 Project) [114Z461]
dc.description.sponsorshipThis work is fully funded by the Scientific and Technical Research Council of Turkey (TUBITAK 1001 Project no: 114Z461).
dc.identifier.doi10.1016/j.cherd.2017.03.024
dc.identifier.endpage338
dc.identifier.issn0263-8762
dc.identifier.issn1744-3563
dc.identifier.orcid0000-0001-7736-752X
dc.identifier.orcid0000-0003-3715-5922
dc.identifier.scopus2-s2.0-85017298217
dc.identifier.scopusqualityQ2
dc.identifier.startpage329
dc.identifier.urihttps://doi.org/10.1016/j.cherd.2017.03.024
dc.identifier.urihttps://hdl.handle.net/11129/12459
dc.identifier.volume121
dc.identifier.wosWOS:000401201100028
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInst Chemical Engineers
dc.relation.ispartofChemical Engineering Research & Design
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260204
dc.subjectBoron removal
dc.subjectChitosan nanobeads
dc.subjectArtificial neural network modelling
dc.subjectChemometric kinetics
dc.titleTargeted boron removal from highly-saline and boron-spiked seawater using magnetic nanobeads: Chemometric optimisation and modelling studies
dc.typeArticle

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