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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/7488
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T10:39:39Zoai: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:34982025-09-29 10:39:40.18CONICET 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 |
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1844614422570467328 |
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13.070432 |