Open AccessIdentification of Chinese green tea (Camellia sinensis) marker metabolites using GC/MS and UPLC-QTOF/MS
Author(s) -
Yu-Shuai Wang,
Minzhe Fang,
Shengdao Zheng,
JinGyeong Cho,
TaeHoo Yi
Publication year - 2021
Publication title -
food science and biotechnology/food science and biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.595
H-Index - 38
eISSN - 2092-6456
pISSN - 1226-7708
DOI - 10.1007/s10068-021-00970-4
Subject(s) - camellia sinensis , metabolomics , chemistry , green tea , flavor , metabolite , gas chromatography–mass spectrometry , primary metabolite , food science , glycoside , chromatography , mass spectrometry , biochemistry , biology , stereochemistry , botany
Tea is one of the most widely consumed aromatic beverages in the world because of its taste and flavor, as well as due to many potential health beneficial properties. Metabolomics focuses on an in-depth analysis of all metabolites in living organisms. In this study, 29 primary metabolites and 25 secondary metabolites were identified using GC/MS and UPLC-QTOF/MS, respectively. Further, PCA analysis showed conspicuous discrimination for the ten varieties of green tea with metabolite profiling. Among them, organic acids, amino acids, flavan-3-ols, and flavonol glycosides varied greatly through checking the VIP values of the PLS-DA model. Moreover, the intrinsic and/or extrinsic factors characterizing each type of green tea were also discussed. The chemical component marker derived here should be used as an important detection index, while evaluating the tea quality, as well as while establishing the tea quality standard.