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Real wine or not? Protecting wine with traceability and authenticity for consumers: chemical and technical basis, technique applications, challenge, and perspectives.

Xiangyu SunFan ZhangGastón Gutiérrez-GamboaQian GePingkang XuQianwen ZhangYulin FangTingting Ma
Published in: Critical reviews in food science and nutrition (2021)
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.
Keyphrases
  • mass spectrometry
  • liquid chromatography
  • machine learning
  • mental health
  • deep learning
  • ms ms
  • big data
  • data analysis
  • gas chromatography
  • real time pcr
  • gas chromatography mass spectrometry