Publication:
A sigmoidal model for biosorption of heavy metal cations from aqueous media

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dc.contributor.authorSAYAR, AHMET ALP
dc.contributor.authorsOzen, Rumeysa; Sayar, Nihat Alpagu; Durmaz-Sam, Selcen; Sayar, Ahmet Alp
dc.date.accessioned2022-03-13T12:47:01Z
dc.date.available2022-03-13T12:47:01Z
dc.date.issued2015
dc.description.abstractA novel multi-input single output (MISO) black-box sigmoid model is developed to simulate the biosorption of heavy metal cations by the fission yeast from aqueous medium. Validation and verification of the model is done through statistical chi-squared hypothesis tests and the model is evaluated by uncertainty and sensitivity analyses. The simulated results are in agreement with the data of the studied system in which Schizosaccharomyces pombe biosorbs Ni(II) cations at various process conditions. Experimental data is obtained originally for this work using dead cells of an adapted variant of S. Pombe and represented by Freundlich isotherms. A process optimization scheme is proposed using the present model to build a novel application of a cost-merit objective function which would be useful to predict optimal operation conditions. (C) 2015 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/j.mbs.2015.04.007
dc.identifier.eissn1879-3134
dc.identifier.issn0025-5564
dc.identifier.pubmed25916890
dc.identifier.urihttps://hdl.handle.net/11424/238012
dc.identifier.wosWOS:000356980600004
dc.language.isoeng
dc.publisherELSEVIER SCIENCE INC
dc.relation.ispartofMATHEMATICAL BIOSCIENCES
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectModeling
dc.subjectBiosorption
dc.subjectNi(II)
dc.subjectFission yeast
dc.subjectValidation
dc.subjectOptimization
dc.subjectNATURAL ORGANIC-MATTER
dc.subjectION-BINDING
dc.subjectKINETICS
dc.subjectOPTIMIZATION
dc.subjectEXTRACTION
dc.subjectSIMULATION
dc.subjectNI(II)
dc.titleA sigmoidal model for biosorption of heavy metal cations from aqueous media
dc.typearticle
dspace.entity.typePublication
local.avesis.ida7b10c58-d49c-4d5f-ae6b-4ccfa6b69c65
local.import.packageSS17
local.indexed.atWOS
local.indexed.atSCOPUS
local.indexed.atPUBMED
local.journal.numberofpages7
oaire.citation.endPage46
oaire.citation.startPage40
oaire.citation.titleMATHEMATICAL BIOSCIENCES
oaire.citation.volume265
relation.isAuthorOfPublication279446ed-107e-4bcc-b5a2-21a8f8fbc72c
relation.isAuthorOfPublication.latestForDiscovery279446ed-107e-4bcc-b5a2-21a8f8fbc72c

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