Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry

Autores
Cuellar, Mariela; Pfaffen, Maria Valeria del Valle; Ortiz, Patricia Ines
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Response surface methodology (RSM) was used to optimize voltammetric signal of hanging mercury drop electrode (HMDE) for inorganic chromium determination and speciation. Initial solution pH, DTPA (Diethylenetriaminepentaacetic acid) concentration, SWV frequency, pulse height, step potential, accumulation time and accumulation potential were considered as important operating factors through experimental design methodology for Cr(VI) quantification. The central composite and a Box-Behnken designs as response surface design coupled with numerical optimization technique was applied for obtaining the optimum chemical and SWV instrumental conditions as well as the maximum height of chromium reduction peak. Optimum conditions were set as follow: pH 6.5, DTPA concentration 5.5 mmol L- 1, SWV parameters: frequency 500 Hz, step potential 0.005 V, pulse height 0.1 V, accumulation time 120 s and accumulation potential - 1.10 V. Speciation is performed in two separate samples, in the first one Cr(VI) is measured after 40 min and DPTA addition. While in the second one, Ce(IV) is added and all Cr(III) is oxidized to Cr(VI) allowing total chromium determination, finally Cr(III) is obtained by difference. Under the optimal experimental conditions, the current reduction peak was proportional to chromium(VI) concentration in the 5-105 nmol L- 1 range, with detection and quantification limits of 3.77 and 8.47 nmol L- 1, respectively. Using the proposed method, inorganic chromium speciation was successfully determined in water samples with standard addition method, suggesting that this method can be applied to the quantification of inorganic chromium speciation in water samples.
Fil: Cuellar, Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
Fil: Pfaffen, Maria Valeria del Valle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
Fil: Ortiz, Patricia Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
Materia
Chromium Speciation
Desirability Profile
Experimental Design
Square Wave Voltammetry
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:11336/50411
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/50411
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetryCuellar, MarielaPfaffen, Maria Valeria del ValleOrtiz, Patricia InesChromium SpeciationDesirability ProfileExperimental DesignSquare Wave Voltammetryhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Response surface methodology (RSM) was used to optimize voltammetric signal of hanging mercury drop electrode (HMDE) for inorganic chromium determination and speciation. Initial solution pH, DTPA (Diethylenetriaminepentaacetic acid) concentration, SWV frequency, pulse height, step potential, accumulation time and accumulation potential were considered as important operating factors through experimental design methodology for Cr(VI) quantification. The central composite and a Box-Behnken designs as response surface design coupled with numerical optimization technique was applied for obtaining the optimum chemical and SWV instrumental conditions as well as the maximum height of chromium reduction peak. Optimum conditions were set as follow: pH 6.5, DTPA concentration 5.5 mmol L- 1, SWV parameters: frequency 500 Hz, step potential 0.005 V, pulse height 0.1 V, accumulation time 120 s and accumulation potential - 1.10 V. Speciation is performed in two separate samples, in the first one Cr(VI) is measured after 40 min and DPTA addition. While in the second one, Ce(IV) is added and all Cr(III) is oxidized to Cr(VI) allowing total chromium determination, finally Cr(III) is obtained by difference. Under the optimal experimental conditions, the current reduction peak was proportional to chromium(VI) concentration in the 5-105 nmol L- 1 range, with detection and quantification limits of 3.77 and 8.47 nmol L- 1, respectively. Using the proposed method, inorganic chromium speciation was successfully determined in water samples with standard addition method, suggesting that this method can be applied to the quantification of inorganic chromium speciation in water samples.Fil: Cuellar, Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; ArgentinaFil: Pfaffen, Maria Valeria del Valle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; ArgentinaFil: Ortiz, Patricia Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; ArgentinaElsevier Science Sa2016-03-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/50411Cuellar, Mariela; Pfaffen, Maria Valeria del Valle; Ortiz, Patricia Ines; Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry; Elsevier Science Sa; Journal of Electroanalytical Chemistry; 765; 8-3-2016; 37-441572-6657CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1572665715300539info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jelechem.2015.07.050info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:05:12Zoai:ri.conicet.gov.ar:11336/50411instacron: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:34982025-10-22 11:05:12.51CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry
title Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry
spellingShingle Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry
Cuellar, Mariela
Chromium Speciation
Desirability Profile
Experimental Design
Square Wave Voltammetry
title_short Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry
title_full Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry
title_fullStr Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry
title_full_unstemmed Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry
title_sort Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry
dc.creator.none.fl_str_mv Cuellar, Mariela
Pfaffen, Maria Valeria del Valle
Ortiz, Patricia Ines
author Cuellar, Mariela
author_facet Cuellar, Mariela
Pfaffen, Maria Valeria del Valle
Ortiz, Patricia Ines
author_role author
author2 Pfaffen, Maria Valeria del Valle
Ortiz, Patricia Ines
author2_role author
author
dc.subject.none.fl_str_mv Chromium Speciation
Desirability Profile
Experimental Design
Square Wave Voltammetry
topic Chromium Speciation
Desirability Profile
Experimental Design
Square Wave Voltammetry
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Response surface methodology (RSM) was used to optimize voltammetric signal of hanging mercury drop electrode (HMDE) for inorganic chromium determination and speciation. Initial solution pH, DTPA (Diethylenetriaminepentaacetic acid) concentration, SWV frequency, pulse height, step potential, accumulation time and accumulation potential were considered as important operating factors through experimental design methodology for Cr(VI) quantification. The central composite and a Box-Behnken designs as response surface design coupled with numerical optimization technique was applied for obtaining the optimum chemical and SWV instrumental conditions as well as the maximum height of chromium reduction peak. Optimum conditions were set as follow: pH 6.5, DTPA concentration 5.5 mmol L- 1, SWV parameters: frequency 500 Hz, step potential 0.005 V, pulse height 0.1 V, accumulation time 120 s and accumulation potential - 1.10 V. Speciation is performed in two separate samples, in the first one Cr(VI) is measured after 40 min and DPTA addition. While in the second one, Ce(IV) is added and all Cr(III) is oxidized to Cr(VI) allowing total chromium determination, finally Cr(III) is obtained by difference. Under the optimal experimental conditions, the current reduction peak was proportional to chromium(VI) concentration in the 5-105 nmol L- 1 range, with detection and quantification limits of 3.77 and 8.47 nmol L- 1, respectively. Using the proposed method, inorganic chromium speciation was successfully determined in water samples with standard addition method, suggesting that this method can be applied to the quantification of inorganic chromium speciation in water samples.
Fil: Cuellar, Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
Fil: Pfaffen, Maria Valeria del Valle. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
Fil: Ortiz, Patricia Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Físico-química de Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Investigaciones en Físico-química de Córdoba; Argentina
description Response surface methodology (RSM) was used to optimize voltammetric signal of hanging mercury drop electrode (HMDE) for inorganic chromium determination and speciation. Initial solution pH, DTPA (Diethylenetriaminepentaacetic acid) concentration, SWV frequency, pulse height, step potential, accumulation time and accumulation potential were considered as important operating factors through experimental design methodology for Cr(VI) quantification. The central composite and a Box-Behnken designs as response surface design coupled with numerical optimization technique was applied for obtaining the optimum chemical and SWV instrumental conditions as well as the maximum height of chromium reduction peak. Optimum conditions were set as follow: pH 6.5, DTPA concentration 5.5 mmol L- 1, SWV parameters: frequency 500 Hz, step potential 0.005 V, pulse height 0.1 V, accumulation time 120 s and accumulation potential - 1.10 V. Speciation is performed in two separate samples, in the first one Cr(VI) is measured after 40 min and DPTA addition. While in the second one, Ce(IV) is added and all Cr(III) is oxidized to Cr(VI) allowing total chromium determination, finally Cr(III) is obtained by difference. Under the optimal experimental conditions, the current reduction peak was proportional to chromium(VI) concentration in the 5-105 nmol L- 1 range, with detection and quantification limits of 3.77 and 8.47 nmol L- 1, respectively. Using the proposed method, inorganic chromium speciation was successfully determined in water samples with standard addition method, suggesting that this method can be applied to the quantification of inorganic chromium speciation in water samples.
publishDate 2016
dc.date.none.fl_str_mv 2016-03-08
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/11336/50411
Cuellar, Mariela; Pfaffen, Maria Valeria del Valle; Ortiz, Patricia Ines; Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry; Elsevier Science Sa; Journal of Electroanalytical Chemistry; 765; 8-3-2016; 37-44
1572-6657
CONICET Digital
CONICET
url http://hdl.handle.net/11336/50411
identifier_str_mv Cuellar, Mariela; Pfaffen, Maria Valeria del Valle; Ortiz, Patricia Ines; Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry; Elsevier Science Sa; Journal of Electroanalytical Chemistry; 765; 8-3-2016; 37-44
1572-6657
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/S1572665715300539
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jelechem.2015.07.050
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
dc.publisher.none.fl_str_mv Elsevier Science Sa
publisher.none.fl_str_mv Elsevier Science Sa
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 12.982451

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