Show simple item record

A modeling study by artificial neural network on ethidium bromide adsorption optimization using natural pumice and iron-coated pumice

dc.contributor.authorHeibati, Behzad
dc.contributor.authorRodriguez-Couto, Susana
dc.contributor.authorOzgonenel, Okan
dc.contributor.authorTuran, Nurdan Gamze
dc.contributor.authorAluigi, Annalisa
dc.contributor.authorZazouli, Mohammad Ali
dc.contributor.authorAlbadarin, Ahmad B.
dc.date.accessioned2020-06-21T13:32:55Z
dc.date.available2020-06-21T13:32:55Z
dc.date.issued2016
dc.identifier.issn1944-3994
dc.identifier.issn1944-3986
dc.identifier.urihttps://doi.org/10.1080/19443994.2015.1060906
dc.identifier.urihttps://hdl.handle.net/20.500.12712/13288
dc.descriptionGhozikali, Mohammad Ghanbari/0000-0002-9167-2309; Zazouli, Mohammad Ali/0000-0003-2314-3859; Rodriguez-Couto, Susana/0000-0002-2694-5091; Aluigi, Annalisa/0000-0001-8754-7161; Mohammadyan, Mahmoud/0000-0003-1830-6545; Albadarin, Ahmad/0000-0002-5686-564Xen_US
dc.descriptionWOS: 000371991000012en_US
dc.description.abstractIn this study, the potential of natural pumice (NP) and iron-coated pumice stone (Fe-CP) as novel low-cost adsorbents to remove ethidium bromide (EtBr) from aqueous solutions was investigated. The operational parameters affecting removal efficiency and adsorption capacity such as adsorbent dose, initial EtBr concentration, pH, and contact time were studied in order to maximize EtBr removal. The maximum amount of adsorbed EtBr (q(m)) using NP and Fe-CP was 40.25 and 45.08mgg(1), respectively. It was found that EtBr adsorption followed the Freundlich isotherm model and fitted the pseudo-second-order kinetics equation for both adsorbents. In addition, the experimental system could be easily modeled by artificial neural network calculations.en_US
dc.description.sponsorshipStudent Research Committee, Mazandaran University of Medical Sciences, Sari, Iran [93-78]en_US
dc.description.sponsorshipThe authors would like to thank Dr J. (Jos) Laven from the Department of Chemical Engineering and Chemistry, Materials and interface Chemistry, Technische Universiteit Eindhoven, Eindhoven, Netherlands, for their helpful suggestions in the modification methods. Also, authors are thankful to the Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran, for the financial support under project grant 93-78.en_US
dc.language.isoengen_US
dc.publisherDesalination Publen_US
dc.relation.isversionof10.1080/19443994.2015.1060906en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural network (ANN)en_US
dc.subjectEthidium bromide (Etbr)en_US
dc.subjectPumiceen_US
dc.subjectIron-coated pumiceen_US
dc.subjectAdsorption isothermsen_US
dc.subjectKinetics studiesen_US
dc.titleA modeling study by artificial neural network on ethidium bromide adsorption optimization using natural pumice and iron-coated pumiceen_US
dc.typearticleen_US
dc.contributor.departmentOMÜen_US
dc.identifier.volume57en_US
dc.identifier.issue29en_US
dc.identifier.startpage13472en_US
dc.identifier.endpage13483en_US
dc.relation.journalDesalination and Water Treatmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record