Widely targeted metabolomic analysis reveals dynamic changes in non-volatile and volatile metabolites during green tea processing

代谢组 代谢组学 代谢物 化学 串联质谱法 初级代谢物 色谱法 气相色谱-质谱法 质谱法 食品科学 生物化学
作者
Hua‐Jie Wang,Jinjie Hua,Qinyan Yu,Jia Li,Jinjin Wang,Yuliang Deng,Haibo Yuan,Yongwen Jiang
出处
期刊:Food Chemistry [Elsevier BV]
卷期号:363: 130131-130131 被引量:170
标识
DOI:10.1016/j.foodchem.2021.130131
摘要

Non-volatile metabolites significantly influence the color, taste, and aromatic qualities of green tea. However, the evolutionary trajectories of non-volatile metabolites, and their transformational relationship with volatile metabolites during processing, remain unclear. In this study, ultra-performance liquid chromatography–tandem mass spectrometry and gas chromatography–tandem mass spectrometry were used to analyze a widely targeted metabolome during green tea processing. In total, 527 non-volatile metabolites, covering 11 subclasses, were identified, along with 184 volatile metabolites, covering 8 subclasses. Significant variations in metabolites were observed during processing, especially in the fixation stage, and the conversion intensity of non-volatile metabolites was consistent with the law of “Fixation > Drying > Rolling.” A total of 153 non-volatile metabolites were screened out, and amino acids and esters were found to be closely associated with volatile metabolite formation. The results of the present study provide a theoretical basis that could guide green tea processing based on desired quality and components.
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