Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression

Autores
Silva Do Nascimento, Danielle; Insausti, Matías; Fernández Band, Beatriz Susana; Lemos, Sherlan G.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work it is proposed the one-voltammogram simultaneous determination of Cu(II), Pb(II), Cd(II),Ni(II), Co(II), and Zn(II) at ppb and sub-ppb levels in bioethanol fuel samples by adsorptive stripping voltammetry.Mixed ligands were employed providing stripping peaks for all analytes at the same voltammetricscan under optimized conditions. To perform the determination, multivariate linear regressionaided by successive projections algorithm (SPA?MLR) was evaluated. The voltammograms were preprocessedwith the asymmetric least squares (AsLS) baseline correction algorithm and the icoshift peak alignmenttool. An excellent analytical performance was obtained, despite the inherent complexity of thesimultaneous determination, with average apparent recovery = 96% ± 16%, and better prediction resultsin comparison with the benchmark method of partial least squares (PLS)
Fil: Silva Do Nascimento, Danielle. Universidade Federal da Paraíba; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Insausti, Matías. 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. 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: Lemos, Sherlan G.. Universidade Federal da Paraíba; Brasil
Materia
Ethanol Fuel
Trace Analysis
Chemometrics
Stripping Voltammetry
Signal Processing
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:11336/30328
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/30328
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regressionSilva Do Nascimento, DanielleInsausti, MatíasFernández Band, Beatriz SusanaLemos, Sherlan G.Ethanol FuelTrace AnalysisChemometricsStripping VoltammetrySignal Processinghttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1In this work it is proposed the one-voltammogram simultaneous determination of Cu(II), Pb(II), Cd(II),Ni(II), Co(II), and Zn(II) at ppb and sub-ppb levels in bioethanol fuel samples by adsorptive stripping voltammetry.Mixed ligands were employed providing stripping peaks for all analytes at the same voltammetricscan under optimized conditions. To perform the determination, multivariate linear regressionaided by successive projections algorithm (SPA?MLR) was evaluated. The voltammograms were preprocessedwith the asymmetric least squares (AsLS) baseline correction algorithm and the icoshift peak alignmenttool. An excellent analytical performance was obtained, despite the inherent complexity of thesimultaneous determination, with average apparent recovery = 96% ± 16%, and better prediction resultsin comparison with the benchmark method of partial least squares (PLS)Fil: Silva Do Nascimento, Danielle. Universidade Federal da Paraíba; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Insausti, Matías. 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. 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: Lemos, Sherlan G.. Universidade Federal da Paraíba; BrasilElsevier2014-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/30328Silva Do Nascimento, Danielle; Insausti, Matías; Fernández Band, Beatriz Susana; Lemos, Sherlan G. ; Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression; Elsevier; Fuel; 137; 8-2014; 172-1780016-2361CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.fuel.2014.07.100info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0016236114007650info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:51:04Zoai:ri.conicet.gov.ar:11336/30328instacron: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:34982025-09-03 09:51:05.16CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression
title Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression
spellingShingle Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression
Silva Do Nascimento, Danielle
Ethanol Fuel
Trace Analysis
Chemometrics
Stripping Voltammetry
Signal Processing
title_short Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression
title_full Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression
title_fullStr Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression
title_full_unstemmed Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression
title_sort Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression
dc.creator.none.fl_str_mv Silva Do Nascimento, Danielle
Insausti, Matías
Fernández Band, Beatriz Susana
Lemos, Sherlan G.
author Silva Do Nascimento, Danielle
author_facet Silva Do Nascimento, Danielle
Insausti, Matías
Fernández Band, Beatriz Susana
Lemos, Sherlan G.
author_role author
author2 Insausti, Matías
Fernández Band, Beatriz Susana
Lemos, Sherlan G.
author2_role author
author
author
dc.subject.none.fl_str_mv Ethanol Fuel
Trace Analysis
Chemometrics
Stripping Voltammetry
Signal Processing
topic Ethanol Fuel
Trace Analysis
Chemometrics
Stripping Voltammetry
Signal Processing
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this work it is proposed the one-voltammogram simultaneous determination of Cu(II), Pb(II), Cd(II),Ni(II), Co(II), and Zn(II) at ppb and sub-ppb levels in bioethanol fuel samples by adsorptive stripping voltammetry.Mixed ligands were employed providing stripping peaks for all analytes at the same voltammetricscan under optimized conditions. To perform the determination, multivariate linear regressionaided by successive projections algorithm (SPA?MLR) was evaluated. The voltammograms were preprocessedwith the asymmetric least squares (AsLS) baseline correction algorithm and the icoshift peak alignmenttool. An excellent analytical performance was obtained, despite the inherent complexity of thesimultaneous determination, with average apparent recovery = 96% ± 16%, and better prediction resultsin comparison with the benchmark method of partial least squares (PLS)
Fil: Silva Do Nascimento, Danielle. Universidade Federal da Paraíba; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Insausti, Matías. 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. 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: Lemos, Sherlan G.. Universidade Federal da Paraíba; Brasil
description In this work it is proposed the one-voltammogram simultaneous determination of Cu(II), Pb(II), Cd(II),Ni(II), Co(II), and Zn(II) at ppb and sub-ppb levels in bioethanol fuel samples by adsorptive stripping voltammetry.Mixed ligands were employed providing stripping peaks for all analytes at the same voltammetricscan under optimized conditions. To perform the determination, multivariate linear regressionaided by successive projections algorithm (SPA?MLR) was evaluated. The voltammograms were preprocessedwith the asymmetric least squares (AsLS) baseline correction algorithm and the icoshift peak alignmenttool. An excellent analytical performance was obtained, despite the inherent complexity of thesimultaneous determination, with average apparent recovery = 96% ± 16%, and better prediction resultsin comparison with the benchmark method of partial least squares (PLS)
publishDate 2014
dc.date.none.fl_str_mv 2014-08
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/11336/30328
Silva Do Nascimento, Danielle; Insausti, Matías; Fernández Band, Beatriz Susana; Lemos, Sherlan G. ; Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression; Elsevier; Fuel; 137; 8-2014; 172-178
0016-2361
CONICET Digital
CONICET
url http://hdl.handle.net/11336/30328
identifier_str_mv Silva Do Nascimento, Danielle; Insausti, Matías; Fernández Band, Beatriz Susana; Lemos, Sherlan G. ; Simultaneous determination of Cu, Pb, Cd, Ni, Co and Zn in bioethanol fuel by adsorptive stripping voltammetry and multivariate linear regression; Elsevier; Fuel; 137; 8-2014; 172-178
0016-2361
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fuel.2014.07.100
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0016236114007650
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
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 13.13397

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