Enhanced selective metal adsorption on optimised agroforestry waste mixtures
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/34588 |
Resumo: | The aim of this work is to ascertain the potentials of different agroforestry wastes to be used as biosorbents in the removal of a mixture of heavy metals. Fern (FE), rice husk (RI) and oak leaves (OA) presented the best removal percentages for Cu(II) and Ni(II), Mn(II) and Zn(II) and Cr(VI), respectively. The performance of a mixture of these three biosorbents was evaluated, and an improvement of 10% in the overall removal was obtained (19.25 mg/g). The optimum mixture proportions were determined using simplexcentroid mixture design method (FE:OA:RI = 50:13.7:36.3). The adsorption kinetics and isotherms of the optimised mixture were fit by the pseudo-first order kinetic model and Langmuir isotherm. The adsorption mechanism was studied, and the effects of the carboxylic, hydroxyl and phenolic groups on metal–biomass binding were demonstrated. Finally, the recoveries of the metals using biomass were investigated, and cationic metal recoveries of 100% were achieved when acidic solutions were used. |
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Enhanced selective metal adsorption on optimised agroforestry waste mixturesMulti-metalsAgroforestry wastesBiosorptionSimplex-centroid mixture designScience & TechnologyThe aim of this work is to ascertain the potentials of different agroforestry wastes to be used as biosorbents in the removal of a mixture of heavy metals. Fern (FE), rice husk (RI) and oak leaves (OA) presented the best removal percentages for Cu(II) and Ni(II), Mn(II) and Zn(II) and Cr(VI), respectively. The performance of a mixture of these three biosorbents was evaluated, and an improvement of 10% in the overall removal was obtained (19.25 mg/g). The optimum mixture proportions were determined using simplexcentroid mixture design method (FE:OA:RI = 50:13.7:36.3). The adsorption kinetics and isotherms of the optimised mixture were fit by the pseudo-first order kinetic model and Langmuir isotherm. The adsorption mechanism was studied, and the effects of the carboxylic, hydroxyl and phenolic groups on metal–biomass binding were demonstrated. Finally, the recoveries of the metals using biomass were investigated, and cationic metal recoveries of 100% were achieved when acidic solutions were used.This work has been funded by the Spanish Ministry of Economy and Competitiveness, Xunta de Galicia and ERDF Funds (Projects CTM 2011-25389 and GRC 2013/003). The authors are grateful to Xunta de Galicia for financial support of the researcher Emilio Rosales under a postdoctoral Grant and the Spanish Ministry of Economy and Competitiveness for financial support of the researcher Marta Pazos under a Ramon y Cajal Grant.ElsevierUniversidade do MinhoRosales, E.Ferreira, LauraSanromán, M. A.Tavares, M. T.Pazos, M.20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/34588engRosales, E.; Ferreira, Laura; Sanromán, M. Á ngeles; Tavares, T.; Pazos, Marta, Enhanced selective metal adsorption on optimised agroforestry waste mixtures. Bioresource Technology, 182, 41-49, 20150960-85240960-852410.1016/j.biortech.2015.01.09425681794http://www.journals.elsevier.com/bioresource-technology/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:RCAAP2023-07-21T12:13:16Zoai:repositorium.sdum.uminho.pt:1822/34588Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:05:19.448670Repositório 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 |
Enhanced selective metal adsorption on optimised agroforestry waste mixtures |
title |
Enhanced selective metal adsorption on optimised agroforestry waste mixtures |
spellingShingle |
Enhanced selective metal adsorption on optimised agroforestry waste mixtures Rosales, E. Multi-metals Agroforestry wastes Biosorption Simplex-centroid mixture design Science & Technology |
title_short |
Enhanced selective metal adsorption on optimised agroforestry waste mixtures |
title_full |
Enhanced selective metal adsorption on optimised agroforestry waste mixtures |
title_fullStr |
Enhanced selective metal adsorption on optimised agroforestry waste mixtures |
title_full_unstemmed |
Enhanced selective metal adsorption on optimised agroforestry waste mixtures |
title_sort |
Enhanced selective metal adsorption on optimised agroforestry waste mixtures |
author |
Rosales, E. |
author_facet |
Rosales, E. Ferreira, Laura Sanromán, M. A. Tavares, M. T. Pazos, M. |
author_role |
author |
author2 |
Ferreira, Laura Sanromán, M. A. Tavares, M. T. Pazos, M. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Rosales, E. Ferreira, Laura Sanromán, M. A. Tavares, M. T. Pazos, M. |
dc.subject.por.fl_str_mv |
Multi-metals Agroforestry wastes Biosorption Simplex-centroid mixture design Science & Technology |
topic |
Multi-metals Agroforestry wastes Biosorption Simplex-centroid mixture design Science & Technology |
description |
The aim of this work is to ascertain the potentials of different agroforestry wastes to be used as biosorbents in the removal of a mixture of heavy metals. Fern (FE), rice husk (RI) and oak leaves (OA) presented the best removal percentages for Cu(II) and Ni(II), Mn(II) and Zn(II) and Cr(VI), respectively. The performance of a mixture of these three biosorbents was evaluated, and an improvement of 10% in the overall removal was obtained (19.25 mg/g). The optimum mixture proportions were determined using simplexcentroid mixture design method (FE:OA:RI = 50:13.7:36.3). The adsorption kinetics and isotherms of the optimised mixture were fit by the pseudo-first order kinetic model and Langmuir isotherm. The adsorption mechanism was studied, and the effects of the carboxylic, hydroxyl and phenolic groups on metal–biomass binding were demonstrated. Finally, the recoveries of the metals using biomass were investigated, and cationic metal recoveries of 100% were achieved when acidic solutions were used. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z |
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/1822/34588 |
url |
http://hdl.handle.net/1822/34588 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Rosales, E.; Ferreira, Laura; Sanromán, M. Á ngeles; Tavares, T.; Pazos, Marta, Enhanced selective metal adsorption on optimised agroforestry waste mixtures. Bioresource Technology, 182, 41-49, 2015 0960-8524 0960-8524 10.1016/j.biortech.2015.01.094 25681794 http://www.journals.elsevier.com/bioresource-technology/ |
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 |
publisher.none.fl_str_mv |
Elsevier |
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 instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132465243095040 |