a Institute of Fermentation Technology and Microbiology, Lodz University of Technology , Lodz , Poland.
Crit Rev Food Sci Nutr. 2018 Jul 3;58(10):1747-1766. doi: 10.1080/10408398.2016.1276883. Epub 2017 Jul 21.
Conventional methods for food quality evaluation based on chemical or microbiological analysis followed by traditional univariate statistics such as ANOVA are considered insufficient for some purposes. More sophisticated instrumental methods including spectroscopy and chromatography, in combination with multivariate analysis-chemometrics, can be used to determine food authenticity, identify adulterations or mislabeling and determine food safety. The purpose of this review is to present the current state of knowledge on the use of chemometric tools for evaluating quality of food products of animal and plant origin and beverages. The article describes applications of several multivariate techniques in food and beverages research, showing their role in adulteration detection, authentication, quality control, differentiation of samples and comparing their classification and prediction ability.
基于化学或微生物分析的传统食品质量评估方法,以及传统的单变量统计方法(如 ANOVA),在某些情况下被认为是不够的。更复杂的仪器方法,包括光谱学和色谱学,结合多元分析-化学计量学,可以用于确定食品的真实性、识别掺假或标签错误,并确定食品安全。本文旨在介绍化学计量学工具在评估动植物源性食品和饮料质量方面的应用现状。文章描述了几种多元技术在食品和饮料研究中的应用,展示了它们在掺假检测、认证、质量控制、样品区分以及比较其分类和预测能力方面的作用。