On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design

Autores
Parodi, Maria Belen; Londonio, Juan Agustín; Polla, Griselda Ines; Smichowski, Patricia Nora
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This study explores further the analytical capabilities of functionalised multiwalled carbon nanotubes with l-proline (pro-MWCNTs) for the reliable preconcentration and determination of Bi(III) in waters using an on-line flow injection hydride generation atomic absorption spectrometry (FI-HG-AAS) system. To avoid carbon nanoparticles aggregation, the preconcentration was carried out on a microcolumn filled with functionalised pro-MWCNTs and a low molecular weight polyethylene. The optimisation was performed by employing a full factorial design. The factors related to the optimisation process were the concentration of eluent and pH of the sample. The best performance was achieved packing the substrate in a microcolumn of 2.3mm (i.d)×25mm (pro-MWCNTs net length: 10mm), the pH was 7.0 and the concentration of the eluent (HCl) was 10% (v/v). Under optimal conditions, the adsorption capacity of the substrate was found to be 0.1mgg-1 reaching a preconcentration factor (PF) of 160. A detection limit (3σ) of 0.7ngL-1 was achieved, when using only 3.0mg of substrate. Interferences affecting Bi(III) signal were carefully studied. Precision, expressed as relative standard deviation (RSD) turned to be 1.5% at the 0.1μgL-1 level (n=10). Accuracy test for the entire analytical procedure was performed by means of the Standard Reference Material (SRM) NIST 1643e (trace elements in water) and results were in good agreement with the certified values. The system was evaluated for quantitative determination of Bi(III) in different categories of waters.
Fil: Parodi, Maria Belen. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Instituto Nacional de Tecnología Industrial; Argentina
Fil: Londonio, Juan Agustín. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; Argentina
Fil: Polla, Griselda Ines. Comisión Nacional de Energía Atómica; Argentina
Fil: Smichowski, Patricia Nora. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica; Argentina
Materia
BISMUTH
FACTOR ANALYSIS
FI-HG-AAS
L-PROLINE IMMOBILISED ON CNTS
PRECONCENTRATION
WATERS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/98457

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network_name_str CONICET Digital (CONICET)
spelling On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial designParodi, Maria BelenLondonio, Juan AgustínPolla, Griselda InesSmichowski, Patricia NoraBISMUTHFACTOR ANALYSISFI-HG-AASL-PROLINE IMMOBILISED ON CNTSPRECONCENTRATIONWATERShttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1This study explores further the analytical capabilities of functionalised multiwalled carbon nanotubes with l-proline (pro-MWCNTs) for the reliable preconcentration and determination of Bi(III) in waters using an on-line flow injection hydride generation atomic absorption spectrometry (FI-HG-AAS) system. To avoid carbon nanoparticles aggregation, the preconcentration was carried out on a microcolumn filled with functionalised pro-MWCNTs and a low molecular weight polyethylene. The optimisation was performed by employing a full factorial design. The factors related to the optimisation process were the concentration of eluent and pH of the sample. The best performance was achieved packing the substrate in a microcolumn of 2.3mm (i.d)×25mm (pro-MWCNTs net length: 10mm), the pH was 7.0 and the concentration of the eluent (HCl) was 10% (v/v). Under optimal conditions, the adsorption capacity of the substrate was found to be 0.1mgg-1 reaching a preconcentration factor (PF) of 160. A detection limit (3σ) of 0.7ngL-1 was achieved, when using only 3.0mg of substrate. Interferences affecting Bi(III) signal were carefully studied. Precision, expressed as relative standard deviation (RSD) turned to be 1.5% at the 0.1μgL-1 level (n=10). Accuracy test for the entire analytical procedure was performed by means of the Standard Reference Material (SRM) NIST 1643e (trace elements in water) and results were in good agreement with the certified values. The system was evaluated for quantitative determination of Bi(III) in different categories of waters.Fil: Parodi, Maria Belen. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Instituto Nacional de Tecnología Industrial; ArgentinaFil: Londonio, Juan Agustín. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; ArgentinaFil: Polla, Griselda Ines. Comisión Nacional de Energía Atómica; ArgentinaFil: Smichowski, Patricia Nora. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica; ArgentinaElsevier Science2015-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/98457Parodi, Maria Belen; Londonio, Juan Agustín; Polla, Griselda Ines; Smichowski, Patricia Nora; On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design; Elsevier Science; Microchemical Journal; 122; 9-2015; 70-750026-265XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X15000752info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2015.04.014info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:33Zoai:ri.conicet.gov.ar:11336/98457instacron: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:34982025-09-29 09:37:33.737CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design
title On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design
spellingShingle On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design
Parodi, Maria Belen
BISMUTH
FACTOR ANALYSIS
FI-HG-AAS
L-PROLINE IMMOBILISED ON CNTS
PRECONCENTRATION
WATERS
title_short On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design
title_full On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design
title_fullStr On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design
title_full_unstemmed On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design
title_sort On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design
dc.creator.none.fl_str_mv Parodi, Maria Belen
Londonio, Juan Agustín
Polla, Griselda Ines
Smichowski, Patricia Nora
author Parodi, Maria Belen
author_facet Parodi, Maria Belen
Londonio, Juan Agustín
Polla, Griselda Ines
Smichowski, Patricia Nora
author_role author
author2 Londonio, Juan Agustín
Polla, Griselda Ines
Smichowski, Patricia Nora
author2_role author
author
author
dc.subject.none.fl_str_mv BISMUTH
FACTOR ANALYSIS
FI-HG-AAS
L-PROLINE IMMOBILISED ON CNTS
PRECONCENTRATION
WATERS
topic BISMUTH
FACTOR ANALYSIS
FI-HG-AAS
L-PROLINE IMMOBILISED ON CNTS
PRECONCENTRATION
WATERS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This study explores further the analytical capabilities of functionalised multiwalled carbon nanotubes with l-proline (pro-MWCNTs) for the reliable preconcentration and determination of Bi(III) in waters using an on-line flow injection hydride generation atomic absorption spectrometry (FI-HG-AAS) system. To avoid carbon nanoparticles aggregation, the preconcentration was carried out on a microcolumn filled with functionalised pro-MWCNTs and a low molecular weight polyethylene. The optimisation was performed by employing a full factorial design. The factors related to the optimisation process were the concentration of eluent and pH of the sample. The best performance was achieved packing the substrate in a microcolumn of 2.3mm (i.d)×25mm (pro-MWCNTs net length: 10mm), the pH was 7.0 and the concentration of the eluent (HCl) was 10% (v/v). Under optimal conditions, the adsorption capacity of the substrate was found to be 0.1mgg-1 reaching a preconcentration factor (PF) of 160. A detection limit (3σ) of 0.7ngL-1 was achieved, when using only 3.0mg of substrate. Interferences affecting Bi(III) signal were carefully studied. Precision, expressed as relative standard deviation (RSD) turned to be 1.5% at the 0.1μgL-1 level (n=10). Accuracy test for the entire analytical procedure was performed by means of the Standard Reference Material (SRM) NIST 1643e (trace elements in water) and results were in good agreement with the certified values. The system was evaluated for quantitative determination of Bi(III) in different categories of waters.
Fil: Parodi, Maria Belen. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Instituto Nacional de Tecnología Industrial; Argentina
Fil: Londonio, Juan Agustín. Universidad Nacional de San Martín. Instituto de Investigación en Ingeniería Ambiental; Argentina. Comisión Nacional de Energía Atómica; Argentina
Fil: Polla, Griselda Ines. Comisión Nacional de Energía Atómica; Argentina
Fil: Smichowski, Patricia Nora. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica; Argentina
description This study explores further the analytical capabilities of functionalised multiwalled carbon nanotubes with l-proline (pro-MWCNTs) for the reliable preconcentration and determination of Bi(III) in waters using an on-line flow injection hydride generation atomic absorption spectrometry (FI-HG-AAS) system. To avoid carbon nanoparticles aggregation, the preconcentration was carried out on a microcolumn filled with functionalised pro-MWCNTs and a low molecular weight polyethylene. The optimisation was performed by employing a full factorial design. The factors related to the optimisation process were the concentration of eluent and pH of the sample. The best performance was achieved packing the substrate in a microcolumn of 2.3mm (i.d)×25mm (pro-MWCNTs net length: 10mm), the pH was 7.0 and the concentration of the eluent (HCl) was 10% (v/v). Under optimal conditions, the adsorption capacity of the substrate was found to be 0.1mgg-1 reaching a preconcentration factor (PF) of 160. A detection limit (3σ) of 0.7ngL-1 was achieved, when using only 3.0mg of substrate. Interferences affecting Bi(III) signal were carefully studied. Precision, expressed as relative standard deviation (RSD) turned to be 1.5% at the 0.1μgL-1 level (n=10). Accuracy test for the entire analytical procedure was performed by means of the Standard Reference Material (SRM) NIST 1643e (trace elements in water) and results were in good agreement with the certified values. The system was evaluated for quantitative determination of Bi(III) in different categories of waters.
publishDate 2015
dc.date.none.fl_str_mv 2015-09
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/11336/98457
Parodi, Maria Belen; Londonio, Juan Agustín; Polla, Griselda Ines; Smichowski, Patricia Nora; On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design; Elsevier Science; Microchemical Journal; 122; 9-2015; 70-75
0026-265X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/98457
identifier_str_mv Parodi, Maria Belen; Londonio, Juan Agustín; Polla, Griselda Ines; Smichowski, Patricia Nora; On-line solid phase extraction of bismuth by FI-HG-AAS using l-proline immobilised on carbon nanotubes combined with factorial design; Elsevier Science; Microchemical Journal; 122; 9-2015; 70-75
0026-265X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0026265X15000752
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.microc.2015.04.014
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv 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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