Non-volatile metabolomics analysis of heating withering method for processing white tea from Longjing 43 tea variety by UHPLC-Q-TOF/MS

Withering is a crucial step in the production of white tea. However, the non-volatile metabolomic profile of white tea produced from the Longjing 43 cultivar using heated withering methods has not been fully elucidated. This study investigated the effect of a novel heated withering process on the taste quality and non-volatile metabolome of white tea. The application of heat significantly shortened the withering duration and enhanced the sensory quality of the tea. Specifically, white tea withered using hot air for 23 h, sunlight for 28 h, and fluorescent lamp for 31 h, all at 28 ± 1 °C, achieved higher taste sensory evaluation scores compared to traditional room-temperature withering at 20 ± 1 °C for 40 h. Non-targeted metabolomic analysis led to the identification of 1,372 metabolites across the different withering treatments. Relative to room-temperature withering, the heated withering processes-particularly hot air withering-resulted in higher concentrations of key taste-related compounds, including organic acids, amino acids, flavonoids, and catechins. Enrichment analysis of KEGG pathways indicated that the main metabolic pathways affected by heated withering were cysteine and methionine metabolism, glutathione metabolism, and isoquinoline alkaloid biosynthesis, with the most pronounced effects observed under hot air withering. In summary, hot air withering not only reduced the processing time but also improved the taste quality and markedly altered the profile of key metabolites in white tea.

Authors

Institutions

Publication Details

Journal
Frontiers in Nutrition
Published
2026-01-15
DOI
https://doi.org/10.3389/fnut.2025.1735183
Primary Topic
Tea Polyphenols and Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-volatile metabolomics analysis of heating withering method for processing white tea from Longjing 43 tea variety by UHPLC-Q-TOF/MS

H. Cui, Zhihui Feng, Jianyong Zhang, Yun Zhao et al.
Frontiers in Nutrition
Tea Polyphenols and Effects
article

Non-volatile metabolomics analysis of heating withering method for processing white tea from Longjing 43 tea variety by UHPLC-Q-TOF/MS

H. Cui, Zhihui Feng, Jianyong Zhang, Yun Zhao, Junfeng Yin, Daliang Shi
article en

Abstract

Withering is a crucial step in the production of white tea. However, the non-volatile metabolomic profile of white tea produced from the Longjing 43 cultivar using heated withering methods has not been fully elucidated. This study investigated the effect of a novel heated withering process on the taste quality and non-volatile metabolome of white tea. The application of heat significantly shortened the withering duration and enhanced the sensory quality of the tea. Specifically, white tea withered using hot air for 23 h, sunlight for 28 h, and fluorescent lamp for 31 h, all at 28 ± 1 °C, achieved higher taste sensory evaluation scores compared to traditional room-temperature withering at 20 ± 1 °C for 40 h. Non-targeted metabolomic analysis led to the identification of 1,372 metabolites across the different withering treatments. Relative to room-temperature withering, the heated withering processes-particularly hot air withering-resulted in higher concentrations of key taste-related compounds, including organic acids, amino acids, flavonoids, and catechins. Enrichment analysis of KEGG pathways indicated that the main metabolic pathways affected by heated withering were cysteine and methionine metabolism, glutathione metabolism, and isoquinoline alkaloid biosynthesis, with the most pronounced effects observed under hot air withering. In summary, hot air withering not only reduced the processing time but also improved the taste quality and markedly altered the profile of key metabolites in white tea.

Frontiers in NutritionVol. 12
Hangzhou Academy of Agricultural Sciences (CN), Tea Research Institute (CN)
Openalex Percentile: Top 87%
Tea Polyphenols and Effects
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.