New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Tec...

Autores
Marsili, Nilda Raquel; Lista, Adriana Guillermina; Fernández Band, Beatriz Susana; Goicoechea, Hector Casimiro; Olivieri, Alejandro Cesar
Año de publicación
2004
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Two widely employed antimicrobials, benzoic and sorbic acids, were simultaneously determined in commercial orange juices employing a combination of a flow injection system with pH gradient generation, diode array spectrophotometric detection, and chemometric processing of the recorded second-order data. Parallel factor analysis and multivariate curve resolution-alternating least-squares were used for obtaining the spectral profiles of sample components and concentration profiles as a function of pH, including provisions for managing rank-deficient data sets. An appropriately designed calibration with a nine-sample set of binary mixtures of standards, coupled to the use of the second-order advantage offered by the applied chemometric techniques, allowed quantitation of the analytes in synthetic test samples and also in commercial orange juices, even in the presence of unmodeled interferents (with relative prediction errors of 8.7% for benzoic acid and 2.5% for sorbic acid). No prior separation or sample pretreatment steps were required. The comparison of results concerning commercial samples with a laborious reference technique yielded satisfactory statistical indicators (recoveries were 99.0% for benzoic acid and 101.4% for sorbic acid).
Fil: Marsili, Nilda Raquel. Universidad Nacional del Litoral; Argentina
Fil: Lista, Adriana Guillermina. Universidad Nacional del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; Argentina
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. North Dakota State University; Estados Unidos. Universidad Nacional del Litoral; Argentina
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario; Argentina
Materia
BENZOIC ACID
FLOW INJECTION ANALYSIS
FOOD ANALYSIS
MULTIVARIATE CURVE RESOLUTION
PARALLEL FACTOR ANALYSIS
PH GRADIENT
SORBIC ACID
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:11336/95258
Acceder
id CONICETDig_53451781a8acac07686f18aaa95d0e44
oai_identifier_str oai:ri.conicet.gov.ar:11336/95258
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection TechniqueMarsili, Nilda RaquelLista, Adriana GuillerminaFernández Band, Beatriz SusanaGoicoechea, Hector CasimiroOlivieri, Alejandro CesarBENZOIC ACIDFLOW INJECTION ANALYSISFOOD ANALYSISMULTIVARIATE CURVE RESOLUTIONPARALLEL FACTOR ANALYSISPH GRADIENTSORBIC ACIDhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Two widely employed antimicrobials, benzoic and sorbic acids, were simultaneously determined in commercial orange juices employing a combination of a flow injection system with pH gradient generation, diode array spectrophotometric detection, and chemometric processing of the recorded second-order data. Parallel factor analysis and multivariate curve resolution-alternating least-squares were used for obtaining the spectral profiles of sample components and concentration profiles as a function of pH, including provisions for managing rank-deficient data sets. An appropriately designed calibration with a nine-sample set of binary mixtures of standards, coupled to the use of the second-order advantage offered by the applied chemometric techniques, allowed quantitation of the analytes in synthetic test samples and also in commercial orange juices, even in the presence of unmodeled interferents (with relative prediction errors of 8.7% for benzoic acid and 2.5% for sorbic acid). No prior separation or sample pretreatment steps were required. The comparison of results concerning commercial samples with a laborious reference technique yielded satisfactory statistical indicators (recoveries were 99.0% for benzoic acid and 101.4% for sorbic acid).Fil: Marsili, Nilda Raquel. Universidad Nacional del Litoral; ArgentinaFil: Lista, Adriana Guillermina. Universidad Nacional del Sur; ArgentinaFil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; ArgentinaFil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. North Dakota State University; Estados Unidos. Universidad Nacional del Litoral; ArgentinaFil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario; ArgentinaAmerican Chemical Society2004-05info: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/11336/95258Marsili, Nilda Raquel; Lista, Adriana Guillermina; Fernández Band, Beatriz Susana; Goicoechea, Hector Casimiro; Olivieri, Alejandro Cesar; New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique; American Chemical Society; Journal of Agricultural and Food Chemistry; 52; 9; 5-2004; 2479-24840021-8561CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1021/jf035362finfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/jf035362finfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:06:41Zoai:ri.conicet.gov.ar:11336/95258instacron: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:34982025-10-15 15:06:41.548CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique
title New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique
spellingShingle New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique
Marsili, Nilda Raquel
BENZOIC ACID
FLOW INJECTION ANALYSIS
FOOD ANALYSIS
MULTIVARIATE CURVE RESOLUTION
PARALLEL FACTOR ANALYSIS
PH GRADIENT
SORBIC ACID
title_short New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique
title_full New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique
title_fullStr New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique
title_full_unstemmed New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique
title_sort New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique
dc.creator.none.fl_str_mv Marsili, Nilda Raquel
Lista, Adriana Guillermina
Fernández Band, Beatriz Susana
Goicoechea, Hector Casimiro
Olivieri, Alejandro Cesar
author Marsili, Nilda Raquel
author_facet Marsili, Nilda Raquel
Lista, Adriana Guillermina
Fernández Band, Beatriz Susana
Goicoechea, Hector Casimiro
Olivieri, Alejandro Cesar
author_role author
author2 Lista, Adriana Guillermina
Fernández Band, Beatriz Susana
Goicoechea, Hector Casimiro
Olivieri, Alejandro Cesar
author2_role author
author
author
author
dc.subject.none.fl_str_mv BENZOIC ACID
FLOW INJECTION ANALYSIS
FOOD ANALYSIS
MULTIVARIATE CURVE RESOLUTION
PARALLEL FACTOR ANALYSIS
PH GRADIENT
SORBIC ACID
topic BENZOIC ACID
FLOW INJECTION ANALYSIS
FOOD ANALYSIS
MULTIVARIATE CURVE RESOLUTION
PARALLEL FACTOR ANALYSIS
PH GRADIENT
SORBIC ACID
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Two widely employed antimicrobials, benzoic and sorbic acids, were simultaneously determined in commercial orange juices employing a combination of a flow injection system with pH gradient generation, diode array spectrophotometric detection, and chemometric processing of the recorded second-order data. Parallel factor analysis and multivariate curve resolution-alternating least-squares were used for obtaining the spectral profiles of sample components and concentration profiles as a function of pH, including provisions for managing rank-deficient data sets. An appropriately designed calibration with a nine-sample set of binary mixtures of standards, coupled to the use of the second-order advantage offered by the applied chemometric techniques, allowed quantitation of the analytes in synthetic test samples and also in commercial orange juices, even in the presence of unmodeled interferents (with relative prediction errors of 8.7% for benzoic acid and 2.5% for sorbic acid). No prior separation or sample pretreatment steps were required. The comparison of results concerning commercial samples with a laborious reference technique yielded satisfactory statistical indicators (recoveries were 99.0% for benzoic acid and 101.4% for sorbic acid).
Fil: Marsili, Nilda Raquel. Universidad Nacional del Litoral; Argentina
Fil: Lista, Adriana Guillermina. Universidad Nacional del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; Argentina
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. North Dakota State University; Estados Unidos. Universidad Nacional del Litoral; Argentina
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario; Argentina
description Two widely employed antimicrobials, benzoic and sorbic acids, were simultaneously determined in commercial orange juices employing a combination of a flow injection system with pH gradient generation, diode array spectrophotometric detection, and chemometric processing of the recorded second-order data. Parallel factor analysis and multivariate curve resolution-alternating least-squares were used for obtaining the spectral profiles of sample components and concentration profiles as a function of pH, including provisions for managing rank-deficient data sets. An appropriately designed calibration with a nine-sample set of binary mixtures of standards, coupled to the use of the second-order advantage offered by the applied chemometric techniques, allowed quantitation of the analytes in synthetic test samples and also in commercial orange juices, even in the presence of unmodeled interferents (with relative prediction errors of 8.7% for benzoic acid and 2.5% for sorbic acid). No prior separation or sample pretreatment steps were required. The comparison of results concerning commercial samples with a laborious reference technique yielded satisfactory statistical indicators (recoveries were 99.0% for benzoic acid and 101.4% for sorbic acid).
publishDate 2004
dc.date.none.fl_str_mv 2004-05
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/11336/95258
Marsili, Nilda Raquel; Lista, Adriana Guillermina; Fernández Band, Beatriz Susana; Goicoechea, Hector Casimiro; Olivieri, Alejandro Cesar; New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique; American Chemical Society; Journal of Agricultural and Food Chemistry; 52; 9; 5-2004; 2479-2484
0021-8561
CONICET Digital
CONICET
url http://hdl.handle.net/11336/95258
identifier_str_mv Marsili, Nilda Raquel; Lista, Adriana Guillermina; Fernández Band, Beatriz Susana; Goicoechea, Hector Casimiro; Olivieri, Alejandro Cesar; New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique; American Chemical Society; Journal of Agricultural and Food Chemistry; 52; 9; 5-2004; 2479-2484
0021-8561
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1021/jf035362f
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/jf035362f
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 American Chemical Society
publisher.none.fl_str_mv American Chemical Society
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 13.22299

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