Metabolomic analysis elucidates the dynamic changes in aroma compounds and the milk aroma mechanism across various portions of tea leaves during different stages of Oolong tea processing

This study investigated the dynamics of aroma compounds in different locations of tea leaves at various stages of the Oolong tea-making process via metabolomics analysis and ribonucleic acid (RNA) gene transcriptome analysis of metabolism-related enzymes. In addition, this study focused on examining the composition and metabolic synthesis pathways of milk flavor compounds during the processing of Jin Xuan Oolong tea. This study showed that a total of 57 aroma compounds were identified, whereas the abundance of the heat map showed a decreasing abundance of these compounds from the first leaves to the stems. The milky aroma compounds were divided into two groups based on changes during the leaf-stirring process (shaking). Specifically, hexanal, 1-octen-3-ol, and trans-2-decanal decreased throughout this process. In contrast, heptanal, limonene, and jasmone increased, producing Oolong tea with a milky fragrance. Moreover, the results of this study on gene expressions of metabolic enzymes and fatty acid contents indicated the milky flavor compounds were derived from fatty acid metabolism. Therefore, this study provides theoretical support and information on the knowledge of Oolong tea processing, which potentially allows the tea industry to improve the quality of the tea to bring this fantastic flavor to consumers.

Authors

Institutions

Publication Details

Journal
Food Research International
Published
2025-03-14
DOI
https://doi.org/10.1016/j.foodres.2025.116203
Citations
8
Primary Topic
Tea Polyphenols and Effects
Type
article
Field-Weighted Citation Impact
11.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metabolomic analysis elucidates the dynamic changes in aroma compounds and the milk aroma mechanism across various portions of tea leaves during different stages of Oolong tea processing

Chih‐Yu Lo, Ping‐Hsiu Huang, Bo Wang, Wen‐Chang Chang
8 citations
Food Research International
Tea Polyphenols and Effects
11.77
article

Metabolomic analysis elucidates the dynamic changes in aroma compounds and the milk aroma mechanism across various portions of tea leaves during different stages of Oolong tea processing

Chih‐Yu Lo, Ping‐Hsiu Huang, Bo Wang, Wen‐Chang Chang
article en
8 citations

Abstract

This study investigated the dynamics of aroma compounds in different locations of tea leaves at various stages of the Oolong tea-making process via metabolomics analysis and ribonucleic acid (RNA) gene transcriptome analysis of metabolism-related enzymes. In addition, this study focused on examining the composition and metabolic synthesis pathways of milk flavor compounds during the processing of Jin Xuan Oolong tea. This study showed that a total of 57 aroma compounds were identified, whereas the abundance of the heat map showed a decreasing abundance of these compounds from the first leaves to the stems. The milky aroma compounds were divided into two groups based on changes during the leaf-stirring process (shaking). Specifically, hexanal, 1-octen-3-ol, and trans-2-decanal decreased throughout this process. In contrast, heptanal, limonene, and jasmone increased, producing Oolong tea with a milky fragrance. Moreover, the results of this study on gene expressions of metabolic enzymes and fatty acid contents indicated the milky flavor compounds were derived from fatty acid metabolism. Therefore, this study provides theoretical support and information on the knowledge of Oolong tea processing, which potentially allows the tea industry to improve the quality of the tea to bring this fantastic flavor to consumers.

Food Research InternationalVol. 209
National Chiayi University (TW), Jiangsu Food and Pharmaceutical Science College (CN)
Zero hunger
Openalex Percentile: Top 1%
Tea Polyphenols and Effects
11.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.