葡萄酒
可追溯性
酿造的
化学计量学
计算机科学
风险分析(工程)
食品科学
业务
化学
机器学习
生物化学
软件工程
作者
Xiangyu Sun,Fan Zhang,Gastón Gutiérrez‐Gamboa,Qian Ge,Pingkang Xu,Qianwen Zhang,Yulin Fang,Tingting Ma
标识
DOI:10.1080/10408398.2021.1906624
摘要
Wine is a high-value alcoholic beverage welcomed by consumers because of its flavor and nutritional value. The key information on wine bottle label is the basis of consumers' choice, which also becomes a target for manufacturers to adulterate, including geographical origin, grape variety and vintage. With the improvement of wine adulteration technology, modern technological means are needed to solve the above mentioned problems. The chemical basis of wine determines the type of technique used. Detection technology can be subdivided into four groups: mass spectrometry techniques, spectroscopic techniques, chromatography techniques, and other techniques. Multivariate statistical analysis of the data was performed by means of chemometrics methods. This paper outlines a series of procedures for wine classification and identification, and classified the analytical techniques and data processing methods used in recent years with listing their principles, advantages and disadvantages to help wine researchers choose appropriate methods to meet the challenge and ensure wine traceability and authenticity.
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