葡萄酒
泰勒瓦
代谢组学
可追溯性
多样性(控制论)
价值(数学)
生化工程
食品科学
化学
生物技术
计算机科学
工程类
生物
人工智能
色谱法
机器学习
软件工程
作者
Josep Valls,Grégoire Loupit,Tristan Richard
出处
期刊:Advances in Botanical Research
日期:2021-01-01
卷期号:: 297-357
被引量:4
标识
DOI:10.1016/bs.abr.2020.11.003
摘要
Wine is an extremely sophisticated chemical matrix in which the harmonious equilibria between many components (alcohols, acids, aromas, polyphenols, etc.) determine its final quality and value. The study of wine composition by metabolomic tools, referred as Wineomics, has emerged as a revolutionary approach to unravel the chemical space of wines and to associate wine composition with important viticultural and enological traits including grape variety, geographical origin, terroir or typicity.
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