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Authentication of tequilas using pattern recognition and supervised classification
dc.contributor.author | Pérez-Caballero, G. | |
dc.contributor.author | Andrade-Garda, José Manuel | |
dc.contributor.author | Olmos, P. | |
dc.contributor.author | Molina, Y. | |
dc.contributor.author | Jiménez, I. | |
dc.contributor.author | Durán, J.J. | |
dc.contributor.author | Fernández-Lozano, Carlos | |
dc.contributor.author | Miguel-Cruz, F. | |
dc.date.accessioned | 2019-04-26T08:58:30Z | |
dc.date.available | 2019-04-26T08:58:30Z | |
dc.date.issued | 2017-07-18 | |
dc.identifier.citation | Pérez-Caballero G, Andrade JM, Olmos P, et al. Authentication of tequilas using pattern recognition and supervised classification. TrAC Trends Anal Chem. 2017; 94: 117-129 | es_ES |
dc.identifier.issn | 0165-9936 | |
dc.identifier.uri | http://hdl.handle.net/2183/22768 | |
dc.description.abstract | [Abstract] Sales of reputed, Mexican tequila grown substantially in last years and, therefore, counterfeiting is increasing steadily. Hence, methodologies intended to characterize and authenticate commercial beverages are a real need. They require a combination of analytical characterization and chemometric tools. This work reports concisely on the former and focus on the chemometric tools employed so far in connection with them. Further, a practical case study presents the classification capabilities of nine supervised classification methods to differentiate white, rested, aged and extra-aged tequilas. The largest set of certified tequilas employed so far was considered. In general, non linear methods performed best than linear ones (accuracy higher than 94% in both training and validation). The case study demonstrates that it is possible to develop fast, cheap, easy to implement and reliable analytical methodologies to authenticate and classify samples of tequilas. | es_ES |
dc.description.sponsorship | Xunta de Galicia; GRC2013-047 | es_ES |
dc.description.sponsorship | Ministerio de Industria, Energía y Competitividad; FJCI-2015-26071 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.uri | https://doi.org/10.1016/j.trac.2017.07.008 | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Tequila | es_ES |
dc.subject | Supervised classification | es_ES |
dc.subject | Authentication | es_ES |
dc.subject | Dimensionality reduction | es_ES |
dc.subject | Machine learning | es_ES |
dc.title | Authentication of tequilas using pattern recognition and supervised classification | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | TrAC Trends in Analytical Chemistry | es_ES |
UDC.volume | 94 | es_ES |
UDC.startPage | 117 | es_ES |
UDC.endPage | 129 | es_ES |
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