Analytical Chemistry and Chemometric Laboratory, State University of Paraiba , Campina Grande , Brazil.
Crit Rev Anal Chem. 2019;49(6):477-487. doi: 10.1080/10408347.2018.1548926. Epub 2019 Apr 4.
Sugarcane spirits and cachaça are distilled beverages derived from the fermentation of sugarcane juice. The production of these spirits has significant influence on the economy of several regions in Brazil, being the third most consumed distilled beverage in the world. To ensure the safety for human consumption and also to add value to these products, it is imperative to apply quality control techniques. The complexity of food matrices along with the fact that the currently used instrumental techniques have several disadvantages, such as being expensive, laborious and time-consuming, have turned research attention to multivariate analysis techniques. In consequence, chemometric techniques have been applied in laboratories around the world aiming at data reduction, pattern recognition, cluster analysis, classification and quantification of data. This article provides an overview of the application of analytical techniques with nonsupervised and supervised pattern recognition methods for the analysis of sugarcane spirits samples. Assessments discussed include promising results for the discrimination among samples, verification of adulteration, tendencies in sensorial characteristics as well as relationships between chemical information and the geographical origins.
甘蔗糖蜜和甘蔗烧酒是从甘蔗汁发酵而来的蒸馏酒。这些烈酒的生产对巴西几个地区的经济有重大影响，是世界上第三大消费蒸馏酒。为了确保人类消费的安全，并为这些产品增值，必须应用质量控制技术。食品基质的复杂性，以及当前使用的仪器技术存在几个缺点，如昂贵、繁琐和耗时，这使得研究转向了多元分析技术。因此，化学计量学技术已经在世界各地的实验室中得到应用，旨在实现数据缩减、模式识别、聚类分析、分类和数据量化。本文概述了应用非监督和监督模式识别方法分析甘蔗糖蜜样品的分析技术。讨论的评估包括对样品的鉴别、掺假的验证、感官特征的趋势以及化学信息与地理起源之间的关系等方面有前景的结果。
