Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms

Detalhes bibliográficos
Autor(a) principal: Hlihor, R. M.
Data de Publicação: 2015
Outros Autores: Diaconu, M., Leon, Florin, Curteanu, Silvia, Tavares, M. T., Gavrilescu, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/35215
Resumo: We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described well the kinetics and equilibrium of the biosorption process, with a determination coefficient, R2 > 0.99. The value of the mean free energy of adsorption, E, is less than 16 kJ/mol at 25°C, suggesting that, at low temperature, the dominant process involved in Cd(II) biosorption by dead T. viride is the chemical ion-exchange. With the temperature increasing to 4050°C, E values are above 16 kJ/mol, showing that the particle diffusion mechanism could play an important role in Cd(II) biosorption. The studies on T. viride growth in Cd(II) solutions and its bioaccumulation performance showed that the living biomass was able to bioaccumulate 100% Cd(II) from a 50 mg/L solution at pH 6.0. The influence of pH, biomass dosage, metal concentration, contact time and temperature on the bioremoval efficiency was evaluated to further assess the biosorption capability of the dead biosorbent. These complex influences were correlated by means of a modeling procedure consisting in data driven approach in which the principles of artificial intelligence were applied with the help of support vector machines (SVM), combined with genetic algorithms (GA). According to our data, the optimal working conditions for the removal of 98.91% Cd(II) by T. viride were found for an aqueous solution containing 26.11 mg/L Cd(II) as follows: pH 6.0, contact time of 3833 min, 8 g/L biosorbent, temperature 46.5°C. The complete characterization of bioremoval parameters indicates that T. viride is an excellent material to treat wastewater containing low concentrations of metal.
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spelling Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithmsBioaccumulationBiosorptionCadmiumEquilibriumGenetic algorithmsKineticsSorption mechanismSupport vector machinesScience & TechnologyWe investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described well the kinetics and equilibrium of the biosorption process, with a determination coefficient, R2 > 0.99. The value of the mean free energy of adsorption, E, is less than 16 kJ/mol at 25°C, suggesting that, at low temperature, the dominant process involved in Cd(II) biosorption by dead T. viride is the chemical ion-exchange. With the temperature increasing to 4050°C, E values are above 16 kJ/mol, showing that the particle diffusion mechanism could play an important role in Cd(II) biosorption. The studies on T. viride growth in Cd(II) solutions and its bioaccumulation performance showed that the living biomass was able to bioaccumulate 100% Cd(II) from a 50 mg/L solution at pH 6.0. The influence of pH, biomass dosage, metal concentration, contact time and temperature on the bioremoval efficiency was evaluated to further assess the biosorption capability of the dead biosorbent. These complex influences were correlated by means of a modeling procedure consisting in data driven approach in which the principles of artificial intelligence were applied with the help of support vector machines (SVM), combined with genetic algorithms (GA). According to our data, the optimal working conditions for the removal of 98.91% Cd(II) by T. viride were found for an aqueous solution containing 26.11 mg/L Cd(II) as follows: pH 6.0, contact time of 3833 min, 8 g/L biosorbent, temperature 46.5°C. The complete characterization of bioremoval parameters indicates that T. viride is an excellent material to treat wastewater containing low concentrations of metal.Elsevier B.V.Universidade do MinhoHlihor, R. M.Diaconu, M.Leon, FlorinCurteanu, SilviaTavares, M. T.Gavrilescu, M.2015-05-252015-05-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/35215engHlihor, Raluca Maria; Diaconu, Mariana; Leon, Florin; Curteanu, Silvia; Tavares, T.; Gavrilescu, Maria, Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms. New Biotechnology, 22(3), 358-368, 20151871-67841871-678410.1016/j.nbt.2014.08.00325224921http://www.journals.elsevier.com/new-biotechnology/info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:54:09Zoai:repositorium.sdum.uminho.pt:1822/35215Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:43:35.786332Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
title Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
spellingShingle Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
Hlihor, R. M.
Bioaccumulation
Biosorption
Cadmium
Equilibrium
Genetic algorithms
Kinetics
Sorption mechanism
Support vector machines
Science & Technology
title_short Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
title_full Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
title_fullStr Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
title_full_unstemmed Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
title_sort Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
author Hlihor, R. M.
author_facet Hlihor, R. M.
Diaconu, M.
Leon, Florin
Curteanu, Silvia
Tavares, M. T.
Gavrilescu, M.
author_role author
author2 Diaconu, M.
Leon, Florin
Curteanu, Silvia
Tavares, M. T.
Gavrilescu, M.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Hlihor, R. M.
Diaconu, M.
Leon, Florin
Curteanu, Silvia
Tavares, M. T.
Gavrilescu, M.
dc.subject.por.fl_str_mv Bioaccumulation
Biosorption
Cadmium
Equilibrium
Genetic algorithms
Kinetics
Sorption mechanism
Support vector machines
Science & Technology
topic Bioaccumulation
Biosorption
Cadmium
Equilibrium
Genetic algorithms
Kinetics
Sorption mechanism
Support vector machines
Science & Technology
description We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described well the kinetics and equilibrium of the biosorption process, with a determination coefficient, R2 > 0.99. The value of the mean free energy of adsorption, E, is less than 16 kJ/mol at 25°C, suggesting that, at low temperature, the dominant process involved in Cd(II) biosorption by dead T. viride is the chemical ion-exchange. With the temperature increasing to 4050°C, E values are above 16 kJ/mol, showing that the particle diffusion mechanism could play an important role in Cd(II) biosorption. The studies on T. viride growth in Cd(II) solutions and its bioaccumulation performance showed that the living biomass was able to bioaccumulate 100% Cd(II) from a 50 mg/L solution at pH 6.0. The influence of pH, biomass dosage, metal concentration, contact time and temperature on the bioremoval efficiency was evaluated to further assess the biosorption capability of the dead biosorbent. These complex influences were correlated by means of a modeling procedure consisting in data driven approach in which the principles of artificial intelligence were applied with the help of support vector machines (SVM), combined with genetic algorithms (GA). According to our data, the optimal working conditions for the removal of 98.91% Cd(II) by T. viride were found for an aqueous solution containing 26.11 mg/L Cd(II) as follows: pH 6.0, contact time of 3833 min, 8 g/L biosorbent, temperature 46.5°C. The complete characterization of bioremoval parameters indicates that T. viride is an excellent material to treat wastewater containing low concentrations of metal.
publishDate 2015
dc.date.none.fl_str_mv 2015-05-25
2015-05-25T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/35215
url http://hdl.handle.net/1822/35215
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Hlihor, Raluca Maria; Diaconu, Mariana; Leon, Florin; Curteanu, Silvia; Tavares, T.; Gavrilescu, Maria, Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms. New Biotechnology, 22(3), 358-368, 2015
1871-6784
1871-6784
10.1016/j.nbt.2014.08.003
25224921
http://www.journals.elsevier.com/new-biotechnology/
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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