Evaluation of Geographic Origin of Torrontés Wines by Chemometrics

Autores
Azcarate, Silvana Mariela; Cantarelli, Miguel Angel; Marchevsky, Eduardo Jorge; Camiña, José Manuel
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Abstract This work discusses the determination of the provenance of commercial Torrontés wines from different Argentinean provinces (Mendoza, San Juan, Salta and Rio Negro) by the use of UV-vis spectroscopy and chemometric techniques. In order to find classification models, wines (n = 80) were analyzed using UV-Vis region of the electromagnetic spectrum. Principal component analysis (PCA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) were used to classify Torrontés wines according to their geographical origin. Classification rates obtained were highly satisfactory. The PLS-DA and LDA calibration models showed that 100% of the Mendoza, San Juan, Salta and Rio Negro Torrontés wine samples had been correctly classified. These results demonstrate the potential use of UV spectroscopy with chemometric data analysis as a method to classify Torrontés wines according to their geographical origin, a procedure which requires low-cost equipment and short-time analysis in comparison with other techniques
Fil: Azcarate, Silvana Mariela. Universidad Nacional de la Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina
Fil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina
Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Química de San Luis; Argentina
Fil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina
Materia
CLASSIFICATION
WHITE WINE
UV-V SPECTROSCOPY
PLS-DA
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:11336/7488
Acceder
id CONICETDig_5973afb4585eaa61827351e60dfb952f
oai_identifier_str oai:ri.conicet.gov.ar:11336/7488
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Evaluation of Geographic Origin of Torrontés Wines by ChemometricsAzcarate, Silvana MarielaCantarelli, Miguel AngelMarchevsky, Eduardo JorgeCamiña, José ManuelCLASSIFICATIONWHITE WINEUV-V SPECTROSCOPYPLS-DAhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Abstract This work discusses the determination of the provenance of commercial Torrontés wines from different Argentinean provinces (Mendoza, San Juan, Salta and Rio Negro) by the use of UV-vis spectroscopy and chemometric techniques. In order to find classification models, wines (n = 80) were analyzed using UV-Vis region of the electromagnetic spectrum. Principal component analysis (PCA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) were used to classify Torrontés wines according to their geographical origin. Classification rates obtained were highly satisfactory. The PLS-DA and LDA calibration models showed that 100% of the Mendoza, San Juan, Salta and Rio Negro Torrontés wine samples had been correctly classified. These results demonstrate the potential use of UV spectroscopy with chemometric data analysis as a method to classify Torrontés wines according to their geographical origin, a procedure which requires low-cost equipment and short-time analysis in comparison with other techniquesFil: Azcarate, Silvana Mariela. Universidad Nacional de la Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; ArgentinaFil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; ArgentinaFil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Química de San Luis; ArgentinaFil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; ArgentinaCanadian Center of Science and Education2013-08info: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/11336/7488Azcarate, Silvana Mariela; Cantarelli, Miguel Angel; Marchevsky, Eduardo Jorge; Camiña, José Manuel; Evaluation of Geographic Origin of Torrontés Wines by Chemometrics; Canadian Center of Science and Education; Journal of Food Research; 2; 5; 8-2013; 48-561927-0887enginfo:eu-repo/semantics/altIdentifier/url/http://www.ccsenet.org/journal/index.php/jfr/article/view/28519info:eu-repo/semantics/altIdentifier/doi/10.5539/jfr.v2n5p48info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:11:59Zoai:ri.conicet.gov.ar:11336/7488instacron: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 12:11:59.335CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Evaluation of Geographic Origin of Torrontés Wines by Chemometrics
title Evaluation of Geographic Origin of Torrontés Wines by Chemometrics
spellingShingle Evaluation of Geographic Origin of Torrontés Wines by Chemometrics
Azcarate, Silvana Mariela
CLASSIFICATION
WHITE WINE
UV-V SPECTROSCOPY
PLS-DA
title_short Evaluation of Geographic Origin of Torrontés Wines by Chemometrics
title_full Evaluation of Geographic Origin of Torrontés Wines by Chemometrics
title_fullStr Evaluation of Geographic Origin of Torrontés Wines by Chemometrics
title_full_unstemmed Evaluation of Geographic Origin of Torrontés Wines by Chemometrics
title_sort Evaluation of Geographic Origin of Torrontés Wines by Chemometrics
dc.creator.none.fl_str_mv Azcarate, Silvana Mariela
Cantarelli, Miguel Angel
Marchevsky, Eduardo Jorge
Camiña, José Manuel
author Azcarate, Silvana Mariela
author_facet Azcarate, Silvana Mariela
Cantarelli, Miguel Angel
Marchevsky, Eduardo Jorge
Camiña, José Manuel
author_role author
author2 Cantarelli, Miguel Angel
Marchevsky, Eduardo Jorge
Camiña, José Manuel
author2_role author
author
author
dc.subject.none.fl_str_mv CLASSIFICATION
WHITE WINE
UV-V SPECTROSCOPY
PLS-DA
topic CLASSIFICATION
WHITE WINE
UV-V SPECTROSCOPY
PLS-DA
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Abstract This work discusses the determination of the provenance of commercial Torrontés wines from different Argentinean provinces (Mendoza, San Juan, Salta and Rio Negro) by the use of UV-vis spectroscopy and chemometric techniques. In order to find classification models, wines (n = 80) were analyzed using UV-Vis region of the electromagnetic spectrum. Principal component analysis (PCA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) were used to classify Torrontés wines according to their geographical origin. Classification rates obtained were highly satisfactory. The PLS-DA and LDA calibration models showed that 100% of the Mendoza, San Juan, Salta and Rio Negro Torrontés wine samples had been correctly classified. These results demonstrate the potential use of UV spectroscopy with chemometric data analysis as a method to classify Torrontés wines according to their geographical origin, a procedure which requires low-cost equipment and short-time analysis in comparison with other techniques
Fil: Azcarate, Silvana Mariela. Universidad Nacional de la Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina
Fil: Cantarelli, Miguel Angel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina
Fil: Marchevsky, Eduardo Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Química de San Luis; Argentina
Fil: Camiña, José Manuel. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina
description Abstract This work discusses the determination of the provenance of commercial Torrontés wines from different Argentinean provinces (Mendoza, San Juan, Salta and Rio Negro) by the use of UV-vis spectroscopy and chemometric techniques. In order to find classification models, wines (n = 80) were analyzed using UV-Vis region of the electromagnetic spectrum. Principal component analysis (PCA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) were used to classify Torrontés wines according to their geographical origin. Classification rates obtained were highly satisfactory. The PLS-DA and LDA calibration models showed that 100% of the Mendoza, San Juan, Salta and Rio Negro Torrontés wine samples had been correctly classified. These results demonstrate the potential use of UV spectroscopy with chemometric data analysis as a method to classify Torrontés wines according to their geographical origin, a procedure which requires low-cost equipment and short-time analysis in comparison with other techniques
publishDate 2013
dc.date.none.fl_str_mv 2013-08
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/11336/7488
Azcarate, Silvana Mariela; Cantarelli, Miguel Angel; Marchevsky, Eduardo Jorge; Camiña, José Manuel; Evaluation of Geographic Origin of Torrontés Wines by Chemometrics; Canadian Center of Science and Education; Journal of Food Research; 2; 5; 8-2013; 48-56
1927-0887
url http://hdl.handle.net/11336/7488
identifier_str_mv Azcarate, Silvana Mariela; Cantarelli, Miguel Angel; Marchevsky, Eduardo Jorge; Camiña, José Manuel; Evaluation of Geographic Origin of Torrontés Wines by Chemometrics; Canadian Center of Science and Education; Journal of Food Research; 2; 5; 8-2013; 48-56
1927-0887
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ccsenet.org/journal/index.php/jfr/article/view/28519
info:eu-repo/semantics/altIdentifier/doi/10.5539/jfr.v2n5p48
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 Canadian Center of Science and Education
publisher.none.fl_str_mv Canadian Center of Science and Education
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
_version_ 1846782514529566720
score 12.982451

Publicaciones similares