Unraveling the dynamic variations of volatile and non-volatile metabolites in green tea during the yellow-light irradiation spreading process by targeted and untargeted metabolomics

被引:0
|
作者
Hu, Jiajing [1 ]
Xie, Jialing [1 ,2 ]
Wang, Qiwei [1 ]
Tang, Jiahao [1 ,3 ]
Zhou, Xianxiu [1 ,4 ]
Yuan, Haibo [1 ]
Jiang, Yongwen [1 ]
Yang, Yanqin [1 ]
机构
[1] Chinese Acad Agr Sci, Tea Res Inst, Key Lab Biol Genet & Breeding Special Econ Anim &, Minist Agr & Rural Affairs, Hangzhou 310008, Peoples R China
[2] Hezhou Agr & Rural Affairs Bur, Hezhou 542800, Peoples R China
[3] Anhui Agr Univ, State Key Lab Tea Plant Biol & Utilizat, Hefei 230036, Peoples R China
[4] Yunnan Agr Univ, Coll Tea Sci, Kunming 650201, Peoples R China
关键词
Green tea; Spreading process; GC-E-Nose; Targeted metabolomics; Untargeted metabolomics;
D O I
10.1016/j.lwt.2024.117152
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Spreading, the initial process of green tea manufacturing, plays a pivotal role in shaping the quality of green tea. Herein, a comprehensive study was conducted employing targeted and untargeted metabolomics to explore the dynamic variations of volatile metabolites (VMs) and non-volatile metabolites (NVMs) throughout the yellowlight irradiation spreading procedure. Findings indicated that both VMs and NVMs exhibited continuous variations during the spreading process, with the most significant alterations observed at 2-h spreading. A total of 74 VMs were successfully identified, with esters (29.73%), aldehydes (25.68%), and alcohols (17.57%) being the predominant compounds. Moreover, 19 VMs such as (E, Z)-2,6-nonadienal and phenylethyl alcohol were regarded as crucial odorants during the yellow-light irradiation spreading process. These key odorants primarily stemmed from the lipid degradation and glycoside hydrolysis during the spreading process. Additionally, a total of 124 NVMs belonging to 10 subcategories were identified, and 29 pivotal NVMs were identified as important differential metabolites throughout the spreading process as per variable importance in projection >1.0 and p < 0.05. These findings provide a robust theoretical framework for the strategic processing of green tea with respect to regulating its quality.
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页数:11
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