Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms

Autores
Culzoni, Maria Julia; Schenone, Agustina Violeta; Llamas, Natalia Elizabeth; Garrido, Mariano Enrique; Di Nezio, Maria Susana; Fernández Band, Beatriz Susana; Goicoechea, Hector Casimiro
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A fast chromatographic methodology is presented for the analysis of three synthetic dyes in non-alcoholic beverages: amaranth (E123), sunset yellow FCF (E110) and tartrazine (E102). Seven soft drinks (purchased from a local supermarket) were homogenized, filtered and injected into the chromatographic system. Second order data were obtained by a rapid LC separation and DAD detection. A comparative study of the performance of two second order algorithms (MCR-ALS and U-PLS/RBL) applied to model the data, is presented. Interestingly, the data present time shift between different chromatograms and cannot be conveniently corrected to determine the above-mentioned dyes in beverage samples. This fact originates the lack of trilinearity that cannot be conveniently pre-processed and can hardly be modelled by using U-PLS/RBL algorithm. On the contrary, MCR-ALS has shown to be an excellent tool for modelling this kind of data allowing to reach acceptable figures of merit. Recovery values ranged between 97% and 105% when analyzing artificial and real samples were indicative of the good performance of the method. In contrast with the complete separation, which consumes 10 mL of methanol and 3 mL of 0.08 mol L-1 ammonium acetate, the proposed fast chromatography method requires only 0.46 mL of methanol and 1.54 mL of 0.08 mol L-1 ammonium acetate. Consequently, analysis time could be reduced up to 14.2% of the necessary time to perform the complete separation allowing saving both solvents and time, which are related to a reduction of both the costs per analysis and environmental impact.
Fil: Culzoni, Maria Julia. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Schenone, Agustina Violeta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Llamas, Natalia Elizabeth. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Garrido, Mariano Enrique. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
BEVERAGES SAMPLES
DYES
HPLC-DAD
MULTIVARIATE CURVE RESOLUTION ALTERNATING LEAST SQUARES
RESIDUAL BILINEARIZATION
SECOND ORDER ADVANTAGE
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:11336/115723

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network_name_str CONICET Digital (CONICET)
spelling Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithmsCulzoni, Maria JuliaSchenone, Agustina VioletaLlamas, Natalia ElizabethGarrido, Mariano EnriqueDi Nezio, Maria SusanaFernández Band, Beatriz SusanaGoicoechea, Hector CasimiroBEVERAGES SAMPLESDYESHPLC-DADMULTIVARIATE CURVE RESOLUTION ALTERNATING LEAST SQUARESRESIDUAL BILINEARIZATIONSECOND ORDER ADVANTAGEhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1A fast chromatographic methodology is presented for the analysis of three synthetic dyes in non-alcoholic beverages: amaranth (E123), sunset yellow FCF (E110) and tartrazine (E102). Seven soft drinks (purchased from a local supermarket) were homogenized, filtered and injected into the chromatographic system. Second order data were obtained by a rapid LC separation and DAD detection. A comparative study of the performance of two second order algorithms (MCR-ALS and U-PLS/RBL) applied to model the data, is presented. Interestingly, the data present time shift between different chromatograms and cannot be conveniently corrected to determine the above-mentioned dyes in beverage samples. This fact originates the lack of trilinearity that cannot be conveniently pre-processed and can hardly be modelled by using U-PLS/RBL algorithm. On the contrary, MCR-ALS has shown to be an excellent tool for modelling this kind of data allowing to reach acceptable figures of merit. Recovery values ranged between 97% and 105% when analyzing artificial and real samples were indicative of the good performance of the method. In contrast with the complete separation, which consumes 10 mL of methanol and 3 mL of 0.08 mol L-1 ammonium acetate, the proposed fast chromatography method requires only 0.46 mL of methanol and 1.54 mL of 0.08 mol L-1 ammonium acetate. Consequently, analysis time could be reduced up to 14.2% of the necessary time to perform the complete separation allowing saving both solvents and time, which are related to a reduction of both the costs per analysis and environmental impact.Fil: Culzoni, Maria Julia. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Schenone, Agustina Violeta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Llamas, Natalia Elizabeth. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Garrido, Mariano Enrique. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Di Nezio, Maria Susana. Universidad Nacional del Sur; ArgentinaFil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2009-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/115723Culzoni, Maria Julia; Schenone, Agustina Violeta; Llamas, Natalia Elizabeth; Garrido, Mariano Enrique; Di Nezio, Maria Susana; et al.; Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms; Elsevier Science; Journal of Chromatography - A; 1216; 42; 9-2009; 7063-70700021-9673CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.chroma.2009.08.077info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:01:12Zoai:ri.conicet.gov.ar:11336/115723instacron: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 10:01:12.308CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms
title Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms
spellingShingle Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms
Culzoni, Maria Julia
BEVERAGES SAMPLES
DYES
HPLC-DAD
MULTIVARIATE CURVE RESOLUTION ALTERNATING LEAST SQUARES
RESIDUAL BILINEARIZATION
SECOND ORDER ADVANTAGE
title_short Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms
title_full Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms
title_fullStr Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms
title_full_unstemmed Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms
title_sort Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms
dc.creator.none.fl_str_mv Culzoni, Maria Julia
Schenone, Agustina Violeta
Llamas, Natalia Elizabeth
Garrido, Mariano Enrique
Di Nezio, Maria Susana
Fernández Band, Beatriz Susana
Goicoechea, Hector Casimiro
author Culzoni, Maria Julia
author_facet Culzoni, Maria Julia
Schenone, Agustina Violeta
Llamas, Natalia Elizabeth
Garrido, Mariano Enrique
Di Nezio, Maria Susana
Fernández Band, Beatriz Susana
Goicoechea, Hector Casimiro
author_role author
author2 Schenone, Agustina Violeta
Llamas, Natalia Elizabeth
Garrido, Mariano Enrique
Di Nezio, Maria Susana
Fernández Band, Beatriz Susana
Goicoechea, Hector Casimiro
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv BEVERAGES SAMPLES
DYES
HPLC-DAD
MULTIVARIATE CURVE RESOLUTION ALTERNATING LEAST SQUARES
RESIDUAL BILINEARIZATION
SECOND ORDER ADVANTAGE
topic BEVERAGES SAMPLES
DYES
HPLC-DAD
MULTIVARIATE CURVE RESOLUTION ALTERNATING LEAST SQUARES
RESIDUAL BILINEARIZATION
SECOND ORDER ADVANTAGE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A fast chromatographic methodology is presented for the analysis of three synthetic dyes in non-alcoholic beverages: amaranth (E123), sunset yellow FCF (E110) and tartrazine (E102). Seven soft drinks (purchased from a local supermarket) were homogenized, filtered and injected into the chromatographic system. Second order data were obtained by a rapid LC separation and DAD detection. A comparative study of the performance of two second order algorithms (MCR-ALS and U-PLS/RBL) applied to model the data, is presented. Interestingly, the data present time shift between different chromatograms and cannot be conveniently corrected to determine the above-mentioned dyes in beverage samples. This fact originates the lack of trilinearity that cannot be conveniently pre-processed and can hardly be modelled by using U-PLS/RBL algorithm. On the contrary, MCR-ALS has shown to be an excellent tool for modelling this kind of data allowing to reach acceptable figures of merit. Recovery values ranged between 97% and 105% when analyzing artificial and real samples were indicative of the good performance of the method. In contrast with the complete separation, which consumes 10 mL of methanol and 3 mL of 0.08 mol L-1 ammonium acetate, the proposed fast chromatography method requires only 0.46 mL of methanol and 1.54 mL of 0.08 mol L-1 ammonium acetate. Consequently, analysis time could be reduced up to 14.2% of the necessary time to perform the complete separation allowing saving both solvents and time, which are related to a reduction of both the costs per analysis and environmental impact.
Fil: Culzoni, Maria Julia. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Schenone, Agustina Violeta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Llamas, Natalia Elizabeth. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Garrido, Mariano Enrique. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Di Nezio, Maria Susana. Universidad Nacional del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Goicoechea, Hector Casimiro. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description A fast chromatographic methodology is presented for the analysis of three synthetic dyes in non-alcoholic beverages: amaranth (E123), sunset yellow FCF (E110) and tartrazine (E102). Seven soft drinks (purchased from a local supermarket) were homogenized, filtered and injected into the chromatographic system. Second order data were obtained by a rapid LC separation and DAD detection. A comparative study of the performance of two second order algorithms (MCR-ALS and U-PLS/RBL) applied to model the data, is presented. Interestingly, the data present time shift between different chromatograms and cannot be conveniently corrected to determine the above-mentioned dyes in beverage samples. This fact originates the lack of trilinearity that cannot be conveniently pre-processed and can hardly be modelled by using U-PLS/RBL algorithm. On the contrary, MCR-ALS has shown to be an excellent tool for modelling this kind of data allowing to reach acceptable figures of merit. Recovery values ranged between 97% and 105% when analyzing artificial and real samples were indicative of the good performance of the method. In contrast with the complete separation, which consumes 10 mL of methanol and 3 mL of 0.08 mol L-1 ammonium acetate, the proposed fast chromatography method requires only 0.46 mL of methanol and 1.54 mL of 0.08 mol L-1 ammonium acetate. Consequently, analysis time could be reduced up to 14.2% of the necessary time to perform the complete separation allowing saving both solvents and time, which are related to a reduction of both the costs per analysis and environmental impact.
publishDate 2009
dc.date.none.fl_str_mv 2009-09
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/11336/115723
Culzoni, Maria Julia; Schenone, Agustina Violeta; Llamas, Natalia Elizabeth; Garrido, Mariano Enrique; Di Nezio, Maria Susana; et al.; Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms; Elsevier Science; Journal of Chromatography - A; 1216; 42; 9-2009; 7063-7070
0021-9673
CONICET Digital
CONICET
url http://hdl.handle.net/11336/115723
identifier_str_mv Culzoni, Maria Julia; Schenone, Agustina Violeta; Llamas, Natalia Elizabeth; Garrido, Mariano Enrique; Di Nezio, Maria Susana; et al.; Fast chromatographic method for the determination of dyes in beverages by using high performance liquid chromatography-Diode array detection data and second order algorithms; Elsevier Science; Journal of Chromatography - A; 1216; 42; 9-2009; 7063-7070
0021-9673
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.chroma.2009.08.077
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
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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