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dc.contributor.authorPérez-Beltrán, Christian Hazael
dc.contributor.authorCuadros Rodríguez, Luis 
dc.contributor.authorJiménez Carvelo, Ana María 
dc.date.accessioned2021-04-23T10:13:45Z
dc.date.available2021-04-23T10:13:45Z
dc.date.issued2021-02-27
dc.identifier.citationPérez-Beltrán, C.H.; Zúñiga-Arroyo, V.M.; Andrade, J.M.; Cuadros-Rodríguez, L.; Pérez-Caballero, G.; Jiménez-Carvelo, A.M. A Sensor-Based Methodology to Differentiate Pure and Mixed White Tequilas Based on Fused Infrared Spectra and Multivariate Data Treatment. Chemosensors 2021, 9, 47. [https://doi.org/10.3390/chemosensors9030047]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/68072
dc.descriptionG.P.-C. acknowledges a research grant from UNAM, Universidad Nacional Autónoma de México (Grants: PIAPI 2042 and PAPIIT IT200918).es_ES
dc.descriptionC.H.P.-B. acknowledges Universidad Autónoma de Sinaloa (México) for a PhD scholarship and further support.es_ES
dc.description.abstractMexican Tequila is one of the most demanded import spirits in Europe. Its fast-raising worldwide request makes counterfeiting a profitable activity affecting both consumers and legal distillers. In this paper, a sensor-based methodology based on a combination of infrared measurements (IR) and multivariate data analysis (MVA) is presented. The case study is about differentiating two categories of white Tequila: pure Tequila (or '100% agave') and mixed Tequila (or simply, Tequila). The IR spectra were treated and fused with a low-level approach. Exploratory data analysis was performed using PCA and partial least squares (PLS), whilst the authentication analyses were carried out with PLS-discriminant analysis (DA) and soft independent modeling for class analogy (SIMCA) models. Results demonstrated that data fusion of IR spectra enhanced the outcomes of the authentication models capable of differentiating pure from mixed Tequilas. In fact, PLS-DA presented the best results which correctly classified all fifteen commercial validation samples. The methodology thus presented is fast, cheap, and of simple application in the Tequila industry.es_ES
dc.description.sponsorshipUniversidad Nacional Autonoma de Mexico PIAPI 2042 PAPIIT IT200918es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectWhite Tequilaes_ES
dc.subjectAuthenticationes_ES
dc.subjectIR spectroscopyes_ES
dc.subjectChemometricses_ES
dc.subjectData fusiones_ES
dc.subjectBeverage alcoholic industryes_ES
dc.titleA Sensor-Based Methodology to Differentiate Pure and Mixed White Tequilas Based on Fused Infrared Spectra and Multivariate Data Treatmentes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/chemosensors9030047
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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