|
KMID : 1007520210300101293
|
|
Food Science and Biotechnology
2021 Volume.30 No. 10 p.1293 ~ p.1301
|
|
|
Identification of Chinese green tea (Camellia sinensis) marker metabolites using GC/MS and UPLC-QTOF/MS
|
|
Wang Yu-Shuai
Fang Min-Zhe
Zheng Sheng-Dao
Cho Jin-Gyeong
Yi Tae-Hoo
|
|
|
Abstract
|
|
|
|
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.
|
|
|
KEYWORD
|
|
|
Green tea, Analytical methods, PCA analysis, Marker metabolites
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
 
|
|