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Adsorption of ethidium bromide (EtBr) from aqueous solutions by natural pumice and aluminium-coated pumice

dc.contributor.authorHeibati, Behzad
dc.contributor.authorYetilmezsoy, Kaan
dc.contributor.authorZazouli, Mohammad Ali
dc.contributor.authorRodriguez-Couto, Susana
dc.contributor.authorTyagi, Inderjeet
dc.contributor.authorAgarwal, Shilpi
dc.contributor.authorGupta, Vinod Kumar
dc.contributor.institutionauthorYETİLMEZSOY, Kaan
dc.date.accessioned2026-06-27T13:49:12Z
dc.date.issued2016
dc.description.abstractIn the present paper, the removal of ethidium bromide (EtBr) from aqueous solutions in a batch system using natural (NP) and aluminium-coated pumice (ACP) as alternative low-cost adsorbents was investigated. The maximum adsorption capacity, q(m) (mg/g) was 58.82 and 76.92 mg/g for NP and ACP, respectively, operating at an initial pH of 8, an adsorbent dose of 8 g/L, a contact time of 210 min and an initial EtBr concentration of 30 mg/L. The equilibrium data of both adsorbents fitted the Freundlich isotherm model, indicating the heterogeneity of the adsorbent surface. In addition, the adsorption rate of both adsorbents was well described by the pseudo-second-order kinetics model. This indicated chemisorption was the rate -controlling step of the adsorption process which occurred by ion exchange. Within the performed study, a three-layer artificial neural network (ANN) model was also developed to predict the efficiency of EtBr removal. Computational results clearly demonstrated that the ANN model was able to predict the combined effect of initial pH, adsorbent dose, contact time and initial EtBr concentration on the adsorption efficiency with a very high determination coefficient (R-2 = 0.998) and a low relative error (RE = 0.037). (C) 2015 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipStudent Research Committee, Mazandaran University of Medical Sciences, Sari, Iran [93-75]
dc.description.urihttps://doi.org/10.1016/j.molliq.2015.08.063
dc.identifier.doi10.1016/j.molliq.2015.08.063
dc.identifier.eissn1873-3166
dc.identifier.endpage47
dc.identifier.issn0167-7322
dc.identifier.startpage41
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55157
dc.identifier.volume213
dc.identifier.wos000369462300008
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofJOURNAL OF MOLECULAR LIQUIDS
dc.subjectArtificial neural network
dc.subjectEthidum bromide
dc.subjectIsotherms
dc.subjectKinetics
dc.subjectPumice stone
dc.subjectWASTE-WATER
dc.subjectTITANIUM-DIOXIDE
dc.subjectCARBON NANOTUBES
dc.subjectBOTTOM ASH
dc.subjectREMOVAL
dc.subjectDYE
dc.subjectDEGRADATION
dc.subjectADSORBENT
dc.subjectSORPTION
dc.subjectPHOTODEGRADATION
dc.subjectChemistry
dc.subjectPhysics
dc.titleAdsorption of ethidium bromide (EtBr) from aqueous solutions by natural pumice and aluminium-coated pumice
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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