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.

中文翻译：

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使用模式识别和监督分类对龙舌兰酒进行身份验证

近年来，知名的墨西哥龙舌兰酒的销量大幅增长，因此，假冒产品稳步增长。因此，旨在表征和鉴定商业饮料的方法学是真正的需求。他们需要结合分析表征和化学计量学工具。这项工作简明扼要地报道了前者，并着重介绍了迄今为止与之相关的化学计量工具。此外，一个实际案例研究提供了九种监督分类方法的分类能力，以区分白色，静止，老化和超龄龙舌兰。到目前为止，已考虑使用最多的龙舌兰酒。通常，非线性方法的效果优于线性方法（训练和验证的准确性均高于94％）。案例研究表明，可以快速发展，