Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films

Detalhes bibliográficos
Autor(a) principal: Gontijo, Erik S.J. [UNESP]
Data de Publicação: 2016
Outros Autores: Watanabe, Cláudia H. [UNESP], Monteiro, Adnívia S.C. [UNESP], Tonello, Paulo S. [UNESP], da Silva, Gilmare A., Friese, Kurt, Roeser, Hubert M.P., Rosa, Andre H. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.chemosphere.2016.08.107
http://hdl.handle.net/11449/168995
Resumo: The distribution of metals and metalloids among particulate, dissolved, colloidal, free, and labile forms in natural waters is of great environmental concern since it determines their transportation behaviour and bioavailability. Organic matter can have an important role for this distribution process, since it is an important complexing agent and ubiquitous in the aquatic environment. We studied the distribution, mobility and bioavailability of Al, As and Fe in natural waters of a mining area (Quadrilátero Ferrífero, Brazil) and the influence of organic matter in these processes. Water samples were taken from 12 points during the dry and rainy seasons, filtrated at 0.45 μm and ultrafiltrated (<1 kDa) to separate the particulate, colloidal and free fractions. Diffusive gradients in thin films (DGT) were deployed at 5 sampling points to study the labile part of the elements. Total and dissolved organic carbon and the physicochemical parameters were measured along with the sampling. The results of ultrafiltration (UF) and DGT were compared. The relationship among the variables was studied through multivariate analysis (Kohonen neural network), which showed that the seasonality did not impact most of the samples. Fe and Al occurred mainly in the particulate fraction whereas As appeared more in the free fraction. Most of the dissolved Fe and Al were inert (colloidal form) while As was more labile and bioavailable. The results showed that sampling points with a higher quantity of complexed Fe (colloidal fraction) showed less labile As, which may indicate formation of ternary complexes among organic matter, As and Fe.
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spelling Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin filmsDissolved organic matterHumic substancesKohonen neural networkMetal speciationMultivariate analysisThe distribution of metals and metalloids among particulate, dissolved, colloidal, free, and labile forms in natural waters is of great environmental concern since it determines their transportation behaviour and bioavailability. Organic matter can have an important role for this distribution process, since it is an important complexing agent and ubiquitous in the aquatic environment. We studied the distribution, mobility and bioavailability of Al, As and Fe in natural waters of a mining area (Quadrilátero Ferrífero, Brazil) and the influence of organic matter in these processes. Water samples were taken from 12 points during the dry and rainy seasons, filtrated at 0.45 μm and ultrafiltrated (<1 kDa) to separate the particulate, colloidal and free fractions. Diffusive gradients in thin films (DGT) were deployed at 5 sampling points to study the labile part of the elements. Total and dissolved organic carbon and the physicochemical parameters were measured along with the sampling. The results of ultrafiltration (UF) and DGT were compared. The relationship among the variables was studied through multivariate analysis (Kohonen neural network), which showed that the seasonality did not impact most of the samples. Fe and Al occurred mainly in the particulate fraction whereas As appeared more in the free fraction. Most of the dissolved Fe and Al were inert (colloidal form) while As was more labile and bioavailable. The results showed that sampling points with a higher quantity of complexed Fe (colloidal fraction) showed less labile As, which may indicate formation of ternary complexes among organic matter, As and Fe.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Deutscher Akademischer AustauschdienstUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Avenida Três de Março, 511, Alto da Boa VistaUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Avenida Prof. Francisco Degni, 55, Jardim QuitandinhaUniversidade Federal de Ouro Preto (UFOP) Campus Universitário, Morro do CruzeiroHelmholtz-Zentrum für Umweltforschung (UFZ), Brückstraße 3aUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Avenida Três de Março, 511, Alto da Boa VistaUniversidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Avenida Prof. Francisco Degni, 55, Jardim QuitandinhaFAPESP: 2012/17727-8CAPES: BEX10452/14-1Universidade Estadual Paulista (Unesp)Universidade Federal de Ouro Preto (UFOP)Helmholtz-Zentrum für Umweltforschung (UFZ)Gontijo, Erik S.J. [UNESP]Watanabe, Cláudia H. [UNESP]Monteiro, Adnívia S.C. [UNESP]Tonello, Paulo S. [UNESP]da Silva, Gilmare A.Friese, KurtRoeser, Hubert M.P.Rosa, Andre H. [UNESP]2018-12-11T16:43:56Z2018-12-11T16:43:56Z2016-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article290-298application/pdfhttp://dx.doi.org/10.1016/j.chemosphere.2016.08.107Chemosphere, v. 164, p. 290-298.1879-12980045-6535http://hdl.handle.net/11449/16899510.1016/j.chemosphere.2016.08.1072-s2.0-849893291242-s2.0-84989329124.pdf63488355397449840000-0003-2774-9727Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengChemosphere1,435info:eu-repo/semantics/openAccess2023-10-24T06:13:03Zoai:repositorio.unesp.br:11449/168995Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:51:37.737707Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
title Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
spellingShingle Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
Gontijo, Erik S.J. [UNESP]
Dissolved organic matter
Humic substances
Kohonen neural network
Metal speciation
Multivariate analysis
title_short Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
title_full Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
title_fullStr Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
title_full_unstemmed Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
title_sort Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
author Gontijo, Erik S.J. [UNESP]
author_facet Gontijo, Erik S.J. [UNESP]
Watanabe, Cláudia H. [UNESP]
Monteiro, Adnívia S.C. [UNESP]
Tonello, Paulo S. [UNESP]
da Silva, Gilmare A.
Friese, Kurt
Roeser, Hubert M.P.
Rosa, Andre H. [UNESP]
author_role author
author2 Watanabe, Cláudia H. [UNESP]
Monteiro, Adnívia S.C. [UNESP]
Tonello, Paulo S. [UNESP]
da Silva, Gilmare A.
Friese, Kurt
Roeser, Hubert M.P.
Rosa, Andre H. [UNESP]
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de Ouro Preto (UFOP)
Helmholtz-Zentrum für Umweltforschung (UFZ)
dc.contributor.author.fl_str_mv Gontijo, Erik S.J. [UNESP]
Watanabe, Cláudia H. [UNESP]
Monteiro, Adnívia S.C. [UNESP]
Tonello, Paulo S. [UNESP]
da Silva, Gilmare A.
Friese, Kurt
Roeser, Hubert M.P.
Rosa, Andre H. [UNESP]
dc.subject.por.fl_str_mv Dissolved organic matter
Humic substances
Kohonen neural network
Metal speciation
Multivariate analysis
topic Dissolved organic matter
Humic substances
Kohonen neural network
Metal speciation
Multivariate analysis
description The distribution of metals and metalloids among particulate, dissolved, colloidal, free, and labile forms in natural waters is of great environmental concern since it determines their transportation behaviour and bioavailability. Organic matter can have an important role for this distribution process, since it is an important complexing agent and ubiquitous in the aquatic environment. We studied the distribution, mobility and bioavailability of Al, As and Fe in natural waters of a mining area (Quadrilátero Ferrífero, Brazil) and the influence of organic matter in these processes. Water samples were taken from 12 points during the dry and rainy seasons, filtrated at 0.45 μm and ultrafiltrated (<1 kDa) to separate the particulate, colloidal and free fractions. Diffusive gradients in thin films (DGT) were deployed at 5 sampling points to study the labile part of the elements. Total and dissolved organic carbon and the physicochemical parameters were measured along with the sampling. The results of ultrafiltration (UF) and DGT were compared. The relationship among the variables was studied through multivariate analysis (Kohonen neural network), which showed that the seasonality did not impact most of the samples. Fe and Al occurred mainly in the particulate fraction whereas As appeared more in the free fraction. Most of the dissolved Fe and Al were inert (colloidal form) while As was more labile and bioavailable. The results showed that sampling points with a higher quantity of complexed Fe (colloidal fraction) showed less labile As, which may indicate formation of ternary complexes among organic matter, As and Fe.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
2018-12-11T16:43:56Z
2018-12-11T16:43:56Z
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://dx.doi.org/10.1016/j.chemosphere.2016.08.107
Chemosphere, v. 164, p. 290-298.
1879-1298
0045-6535
http://hdl.handle.net/11449/168995
10.1016/j.chemosphere.2016.08.107
2-s2.0-84989329124
2-s2.0-84989329124.pdf
6348835539744984
0000-0003-2774-9727
url http://dx.doi.org/10.1016/j.chemosphere.2016.08.107
http://hdl.handle.net/11449/168995
identifier_str_mv Chemosphere, v. 164, p. 290-298.
1879-1298
0045-6535
10.1016/j.chemosphere.2016.08.107
2-s2.0-84989329124
2-s2.0-84989329124.pdf
6348835539744984
0000-0003-2774-9727
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Chemosphere
1,435
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 290-298
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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