Authentication of tequilas using pattern recognition and supervised classification

被引:27
作者
Perez-Caballero, G. [1 ]
Andrade, J. M. [2 ]
Olmos, P. [1 ]
Molina, Y. [1 ]
Jimenez, I. [1 ]
Duran, J. J. [1 ]
Fernandez-Lozano, C. [3 ]
Miguel-Cruz, F. [4 ]
机构
[1] Univ Nacl Autonoma Mexico, Fac Estudios Super Cuautitlan, UIM, Km 2-5 Carretera Cuautitlan Teoloyucan, Cuautitlan 54714, Estado De Mexic, Mexico
[2] Univ A Coruna, QANAP Res Grp, Analyt Chem, Campus Zapateira S-N, E-15071 La Coruna, Spain
[3] Univ A Coruna, Informat & Commun Technol Dept, Fac Comp Sci, La Coruna 15071, Spain
[4] Consejo Regulador Tequila, Ave Patria 723, Zapopan 45030, Jalisco, Mexico
关键词
Tequila; Supervised classification; Authentication; Dimensionality reduction; Machine learning; VOLATILE COMPOUNDS; MULTIVARIATE-ANALYSIS; GAS-CHROMATOGRAPHY; ALCOHOLIC BEVERAGES; FURANIC COMPOUNDS; SPECTROSCOPY; SPIRITS; QUANTIFICATION; IDENTIFICATION; HYDROLYSIS;
D O I
10.1016/j.trac.2017.07.008
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码:117 / 129
页数:13
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