Distribution and bioavailability of arsenic in natural waters of a mining area studied by ultrafiltration and diffusive gradients in thin films
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
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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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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1808128573946462208 |