粮油食品科技2024，Vol.32Issue(2)：74-82,9.DOI:10.16210/j.cnki.1007-7561.2024.02.009
机器学习视角下风味分子研究及其在茉莉花茶中的应用
Investigation of Flavor Molecules from a Machine Learning Perspective and Its Application in Jasmine Tea
摘要
Abstract
The pupose of this review was to explore the application of machine learning in the realm of flavor molecule research,particularly in the analysis of the flavor of Jasmine tea.The study of flavor molecules is fundamental to understand and optimize the taste and quality of food,especially tea.The introduction of machine learning technology has opened new horizons for the identification and analysis of flavor molecules.This paper firstly outlined the basic concepts and research methods of flavor molecules,and a detailed discussion on the application of machine learning in deciphering the relationships between molecular structures and flavor characteristics,as well as in the analysis,prediction and optimization of the flavor and intelligent processing of Jasmine tea and other applications,put forward the research prospect.Thereby,this review could enhance the quality of Jasmine tea and provide technical support for the further development of the tea industry.关键词
风味分子/机器学习/茉莉花茶/品质预测与控制/风味优化/智能化加工/研究展望Key words
flavor molecules/machine learning/jasmine tea/quality prediction and control/flavor optimization/intelligent processing/research prospect分类
轻工纺织引用本文复制引用
庞杰,李小林,王芹,张钦华,黄世国,孙意岚..机器学习视角下风味分子研究及其在茉莉花茶中的应用[J].粮油食品科技,2024,32(2):74-82,9.基金项目
"十四五"国家重点研发计划项目(2022YFD2101102) National Key Research and Development Project of the 14th five-year plan,China(No.2022YFD2101102) （2022YFD2101102）
