A Sensor-Based Methodology to Differentiate Pure and Mixed White Tequilas Based on Fused Infrared Spectra and Multivariate Data Treatment Pérez-Beltrán, Christian Hazael Cuadros Rodríguez, Luis Jiménez Carvelo, Ana María White Tequila Authentication IR spectroscopy Chemometrics Data fusion Beverage alcoholic industry G.P.-C. acknowledges a research grant from UNAM, Universidad Nacional Autónoma de México (Grants: PIAPI 2042 and PAPIIT IT200918). C.H.P.-B. acknowledges Universidad Autónoma de Sinaloa (México) for a PhD scholarship and further support. Mexican 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. 2021-04-23T10:13:45Z 2021-04-23T10:13:45Z 2021-02-27 info:eu-repo/semantics/article Pérez-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] http://hdl.handle.net/10481/68072 10.3390/chemosensors9030047 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI