Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples

Autores
Álvarez, Mónica Beatriz; Quintas, Pamela Yanina; Domini, Claudia Elizabeth; Garrido, Mariano Enrique; Fernández Band, Beatriz Susana
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of this study was to assess metal mobility/availability in coastal surface (oxic) sediment samples from the Bahía Blanca estuary. Particularly, two sequential extraction procedures able to discriminate metals associated to amorphous Fe and Mn oxides and those associated with crystalline oxides of Fe were applied. Sequential procedures differ in the number of steps, type of reagents used, and in the order in which metals associated to organic matter are extracted. The studied metals were Cd, Cr, Cu,Pb, Ni and Zn because of their hazardous potential and relative abundance in the estuary. Tucker4 model with three factors describes appropriately the data sets (explained variance of 64.05%). This model made it possible to visualize and explain the information underlying in the data set. From the multivariate analysis, it was possible to evaluate the metal behaviour and their availability. In this way, Cd and Zn are associated to the more available fractions whereas Ni, Cr, Cu and Pb are mainly associated to the unavailable fractions. On the other hand, Zn and Cu are associated to organic matter fraction. Despite the fact that the two fractionation schemes are quite different, the results obtained with both schemes are comparable.
Fil: Álvarez, Mónica Beatriz. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Quintas, Pamela Yanina. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Domini, Claudia Elizabeth. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Garrido, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Materia
Four-Way Tucker Model
Metal Fractionation
Oxide Phases
Sediment Samples
Sequential Extraction Procedures
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/23022
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/23022
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samplesÁlvarez, Mónica BeatrizQuintas, Pamela YaninaDomini, Claudia ElizabethGarrido, Mariano EnriqueFernández Band, Beatriz SusanaFour-Way Tucker ModelMetal FractionationOxide PhasesSediment SamplesSequential Extraction Procedureshttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1The aim of this study was to assess metal mobility/availability in coastal surface (oxic) sediment samples from the Bahía Blanca estuary. Particularly, two sequential extraction procedures able to discriminate metals associated to amorphous Fe and Mn oxides and those associated with crystalline oxides of Fe were applied. Sequential procedures differ in the number of steps, type of reagents used, and in the order in which metals associated to organic matter are extracted. The studied metals were Cd, Cr, Cu,Pb, Ni and Zn because of their hazardous potential and relative abundance in the estuary. Tucker4 model with three factors describes appropriately the data sets (explained variance of 64.05%). This model made it possible to visualize and explain the information underlying in the data set. From the multivariate analysis, it was possible to evaluate the metal behaviour and their availability. In this way, Cd and Zn are associated to the more available fractions whereas Ni, Cr, Cu and Pb are mainly associated to the unavailable fractions. On the other hand, Zn and Cu are associated to organic matter fraction. Despite the fact that the two fractionation schemes are quite different, the results obtained with both schemes are comparable.Fil: Álvarez, Mónica Beatriz. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Quintas, Pamela Yanina. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Domini, Claudia Elizabeth. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Garrido, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaElsevier Science2014-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/23022Álvarez, Mónica Beatriz; Quintas, Pamela Yanina; Domini, Claudia Elizabeth; Garrido, Mariano Enrique; Fernández Band, Beatriz Susana; Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples; Elsevier Science; Journal of Hazardous Materials; 274; 4-2014; 455-4640304-3894CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S030438941400301X?via%3Dihubinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhazmat.2014.04.039info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:32:18Zoai:ri.conicet.gov.ar:11336/23022instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-17 11:32:18.752CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples
title Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples
spellingShingle Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples
Álvarez, Mónica Beatriz
Four-Way Tucker Model
Metal Fractionation
Oxide Phases
Sediment Samples
Sequential Extraction Procedures
title_short Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples
title_full Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples
title_fullStr Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples
title_full_unstemmed Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples
title_sort Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples
dc.creator.none.fl_str_mv Álvarez, Mónica Beatriz
Quintas, Pamela Yanina
Domini, Claudia Elizabeth
Garrido, Mariano Enrique
Fernández Band, Beatriz Susana
author Álvarez, Mónica Beatriz
author_facet Álvarez, Mónica Beatriz
Quintas, Pamela Yanina
Domini, Claudia Elizabeth
Garrido, Mariano Enrique
Fernández Band, Beatriz Susana
author_role author
author2 Quintas, Pamela Yanina
Domini, Claudia Elizabeth
Garrido, Mariano Enrique
Fernández Band, Beatriz Susana
author2_role author
author
author
author
dc.subject.none.fl_str_mv Four-Way Tucker Model
Metal Fractionation
Oxide Phases
Sediment Samples
Sequential Extraction Procedures
topic Four-Way Tucker Model
Metal Fractionation
Oxide Phases
Sediment Samples
Sequential Extraction Procedures
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The aim of this study was to assess metal mobility/availability in coastal surface (oxic) sediment samples from the Bahía Blanca estuary. Particularly, two sequential extraction procedures able to discriminate metals associated to amorphous Fe and Mn oxides and those associated with crystalline oxides of Fe were applied. Sequential procedures differ in the number of steps, type of reagents used, and in the order in which metals associated to organic matter are extracted. The studied metals were Cd, Cr, Cu,Pb, Ni and Zn because of their hazardous potential and relative abundance in the estuary. Tucker4 model with three factors describes appropriately the data sets (explained variance of 64.05%). This model made it possible to visualize and explain the information underlying in the data set. From the multivariate analysis, it was possible to evaluate the metal behaviour and their availability. In this way, Cd and Zn are associated to the more available fractions whereas Ni, Cr, Cu and Pb are mainly associated to the unavailable fractions. On the other hand, Zn and Cu are associated to organic matter fraction. Despite the fact that the two fractionation schemes are quite different, the results obtained with both schemes are comparable.
Fil: Álvarez, Mónica Beatriz. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Quintas, Pamela Yanina. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Domini, Claudia Elizabeth. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Garrido, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur. Departamento de Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
description The aim of this study was to assess metal mobility/availability in coastal surface (oxic) sediment samples from the Bahía Blanca estuary. Particularly, two sequential extraction procedures able to discriminate metals associated to amorphous Fe and Mn oxides and those associated with crystalline oxides of Fe were applied. Sequential procedures differ in the number of steps, type of reagents used, and in the order in which metals associated to organic matter are extracted. The studied metals were Cd, Cr, Cu,Pb, Ni and Zn because of their hazardous potential and relative abundance in the estuary. Tucker4 model with three factors describes appropriately the data sets (explained variance of 64.05%). This model made it possible to visualize and explain the information underlying in the data set. From the multivariate analysis, it was possible to evaluate the metal behaviour and their availability. In this way, Cd and Zn are associated to the more available fractions whereas Ni, Cr, Cu and Pb are mainly associated to the unavailable fractions. On the other hand, Zn and Cu are associated to organic matter fraction. Despite the fact that the two fractionation schemes are quite different, the results obtained with both schemes are comparable.
publishDate 2014
dc.date.none.fl_str_mv 2014-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/23022
Álvarez, Mónica Beatriz; Quintas, Pamela Yanina; Domini, Claudia Elizabeth; Garrido, Mariano Enrique; Fernández Band, Beatriz Susana; Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples; Elsevier Science; Journal of Hazardous Materials; 274; 4-2014; 455-464
0304-3894
CONICET Digital
CONICET
url http://hdl.handle.net/11336/23022
identifier_str_mv Álvarez, Mónica Beatriz; Quintas, Pamela Yanina; Domini, Claudia Elizabeth; Garrido, Mariano Enrique; Fernández Band, Beatriz Susana; Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples; Elsevier Science; Journal of Hazardous Materials; 274; 4-2014; 455-464
0304-3894
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S030438941400301X?via%3Dihub
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhazmat.2014.04.039
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.001348

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