Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition
- Autores
- Cantarelli, Miguel Angel; Azcarate, Silvana Mariela; Savio, Marianela; Marchevsky, Eduardo Jorge; Camiña, José Manuel
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- An analytical method for a rapid and non-destructive classification and authentication of whiskies of high commercial value based on trademark and years of aging is presented. Molecular absorption spectroscopy was performed with a minimum manipulation of the sample. Different conditions previous to the chemometric analysis, such as dilution and pH effect were studied. Fifteen commercial trademarks of whiskies with different years of aging were acquired from the local market. The pattern recognition was performed using principal component analysis (PCA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) to obtain models that allowed the classification and discrimination of whiskies based in trademarks and years of aging respectively. Results show that by LDA, a mean of 99.15% of samples were correctly classified according to trademark. On the other hand, by PLS-DA a 100% of correct classification and discrimination was achieved with several aging labels (6, 8, 12 and 15 years of aging).
Fil: Cantarelli, Miguel Angel. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Azcarate, Silvana Mariela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Savio, Marianela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; 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. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina - Materia
-
Whiskies
Trademark
Years of Aging
Classification
Discrimination
Pattern Recongnition - 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:11336/5785
Ver los metadatos del registro completo
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spelling |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern RecognitionCantarelli, Miguel AngelAzcarate, Silvana MarielaSavio, MarianelaMarchevsky, Eduardo JorgeCamiña, José ManuelWhiskiesTrademarkYears of AgingClassificationDiscriminationPattern Recongnitionhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1An analytical method for a rapid and non-destructive classification and authentication of whiskies of high commercial value based on trademark and years of aging is presented. Molecular absorption spectroscopy was performed with a minimum manipulation of the sample. Different conditions previous to the chemometric analysis, such as dilution and pH effect were studied. Fifteen commercial trademarks of whiskies with different years of aging were acquired from the local market. The pattern recognition was performed using principal component analysis (PCA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) to obtain models that allowed the classification and discrimination of whiskies based in trademarks and years of aging respectively. Results show that by LDA, a mean of 99.15% of samples were correctly classified according to trademark. On the other hand, by PLS-DA a 100% of correct classification and discrimination was achieved with several aging labels (6, 8, 12 and 15 years of aging).Fil: Cantarelli, Miguel Angel. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Azcarate, Silvana Mariela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Savio, Marianela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; 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. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; ArgentinaSpringer2014-08info: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/pdfapplication/pdfhttp://hdl.handle.net/11336/5785Cantarelli, Miguel Angel; Azcarate, Silvana Mariela; Savio, Marianela; Marchevsky, Eduardo Jorge; Camiña, José Manuel; Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition; Springer; Food Analytical Methods; 8; 3; 8-2014; 790-7981936-9751enginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s12161-014-9958-8info:eu-repo/semantics/altIdentifier/doi/10.1007/s12161-014-9958-8info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:08:48Zoai:ri.conicet.gov.ar:11336/5785instacron: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 10:08:49.259CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition |
title |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition |
spellingShingle |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition Cantarelli, Miguel Angel Whiskies Trademark Years of Aging Classification Discrimination Pattern Recongnition |
title_short |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition |
title_full |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition |
title_fullStr |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition |
title_full_unstemmed |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition |
title_sort |
Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition |
dc.creator.none.fl_str_mv |
Cantarelli, Miguel Angel Azcarate, Silvana Mariela Savio, Marianela Marchevsky, Eduardo Jorge Camiña, José Manuel |
author |
Cantarelli, Miguel Angel |
author_facet |
Cantarelli, Miguel Angel Azcarate, Silvana Mariela Savio, Marianela Marchevsky, Eduardo Jorge Camiña, José Manuel |
author_role |
author |
author2 |
Azcarate, Silvana Mariela Savio, Marianela Marchevsky, Eduardo Jorge Camiña, José Manuel |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Whiskies Trademark Years of Aging Classification Discrimination Pattern Recongnition |
topic |
Whiskies Trademark Years of Aging Classification Discrimination Pattern Recongnition |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
An analytical method for a rapid and non-destructive classification and authentication of whiskies of high commercial value based on trademark and years of aging is presented. Molecular absorption spectroscopy was performed with a minimum manipulation of the sample. Different conditions previous to the chemometric analysis, such as dilution and pH effect were studied. Fifteen commercial trademarks of whiskies with different years of aging were acquired from the local market. The pattern recognition was performed using principal component analysis (PCA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) to obtain models that allowed the classification and discrimination of whiskies based in trademarks and years of aging respectively. Results show that by LDA, a mean of 99.15% of samples were correctly classified according to trademark. On the other hand, by PLS-DA a 100% of correct classification and discrimination was achieved with several aging labels (6, 8, 12 and 15 years of aging). Fil: Cantarelli, Miguel Angel. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Azcarate, Silvana Mariela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Savio, Marianela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; 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. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Ciencias de la Tierra y Ambientales de la Pampa; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina |
description |
An analytical method for a rapid and non-destructive classification and authentication of whiskies of high commercial value based on trademark and years of aging is presented. Molecular absorption spectroscopy was performed with a minimum manipulation of the sample. Different conditions previous to the chemometric analysis, such as dilution and pH effect were studied. Fifteen commercial trademarks of whiskies with different years of aging were acquired from the local market. The pattern recognition was performed using principal component analysis (PCA), linear discriminant analysis (LDA) and partial least squares discriminant analysis (PLS-DA) to obtain models that allowed the classification and discrimination of whiskies based in trademarks and years of aging respectively. Results show that by LDA, a mean of 99.15% of samples were correctly classified according to trademark. On the other hand, by PLS-DA a 100% of correct classification and discrimination was achieved with several aging labels (6, 8, 12 and 15 years of aging). |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-08 |
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/11336/5785 Cantarelli, Miguel Angel; Azcarate, Silvana Mariela; Savio, Marianela; Marchevsky, Eduardo Jorge; Camiña, José Manuel; Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition; Springer; Food Analytical Methods; 8; 3; 8-2014; 790-798 1936-9751 |
url |
http://hdl.handle.net/11336/5785 |
identifier_str_mv |
Cantarelli, Miguel Angel; Azcarate, Silvana Mariela; Savio, Marianela; Marchevsky, Eduardo Jorge; Camiña, José Manuel; Authentication and Discrimination of Whiskies of High Commercial Value by Pattern Recognition; Springer; Food Analytical Methods; 8; 3; 8-2014; 790-798 1936-9751 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007/s12161-014-9958-8 info:eu-repo/semantics/altIdentifier/doi/10.1007/s12161-014-9958-8 info:eu-repo/semantics/altIdentifier/doi/ |
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 application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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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1844613960315174912 |
score |
13.070432 |