Uncovering the effects of spreading under different light irradiation on the volatile and non-volatile metabolites of green tea by intelligent sensory technologies integrated with targeted and non-targeted metabolomics analyses

代谢组学 感觉系统 化学 计算生物学 生物 色谱法 神经科学
作者
Jialing Xie,Qiwei Wang,Jiajing Hu,Lilei Wang,Xiaolan Yu,Haibo Yuan,Yongwen Jiang,Yanqin Yang
出处
期刊:Food Chemistry [Elsevier BV]
卷期号:463: 141482-141482 被引量:2
标识
DOI:10.1016/j.foodchem.2024.141482
摘要

Spreading serves as a pivotal process in the flavor development of green tea. In this study, the effects of spreading under five light irradiation on the volatile and non-volatile metabolites of green tea were comprehensively investigated using intelligent sensory technologies integrated with targeted and non-targeted metabolomics analyses. The incorporation of yellow light irradiation into spreading process significantly improved the overall quality of green tea. A total of 71 volatile and 112 non-volatile metabolites were identified by GC-MS/MS and UHPLC-Q-Exactive/MS, respectively. Among them, 20 key odorants with OAVs exceeding 1 were screened out. Moreover, phenylethyl alcohol, β-damascenone, β-ionone, (E, Z)-2,6-nonadienal, linalool, and phenylacetaldehyde with higher OAVs were pivotal contributors to the aroma quality under different light irradiation. Additionally, 13 non-volatile metabolites with VIP > 1.2 were recognized as key differential metabolites under different light irradiation. The results provide technical support and theoretical guidance for enhancing the processing technology of green tea.
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