化学计量学
食品质量
单变量
质量(理念)
食品
多元统计
多元分析
食品科学
计算机科学
数学
统计
化学
机器学习
认识论
哲学
作者
Magdalena Efenberger-Szmechtyk,Agnieszka Nowak,Dorota Kręgiel
标识
DOI:10.1080/10408398.2016.1276883
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI