Evidence map›Paper›PMID 41227757›Full record

ArticleFoods (Basel, Switzerland)2025

Effects of Various Drying Parameters on the Volatile and Non-Volatile Compositions of 'Qiancha 1' White Tea.

Jinlong Luo, Siyu Liao, Fengjiao Ding, Yuqiao Dai, Zhongying Liu, Ting Yang, Tuo Zhang, Shimao Fang, Yan Li, Lulu Pu and 3 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jinlong LuoGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Siyu LiaoTea Refining and Innovation Key Laboratory of Sichuan Province, College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China.
Fengjiao DingGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Yuqiao DaiGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Zhongying LiuGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Ting YangGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Tuo ZhangGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Shimao FangGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Yan LiGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Lulu PuGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Ke PanGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.
Wanping FangCollege of Horticulture, Nanjing Agricultural University, Nanjing 210095, China.
Qiang ShenGuizhou Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550006, China.ORCID 0009-0005-9856-5679

Funding

Guizhou Academy of Agricultural Sciences "expose the list to lead" project JBGS[2024]04Guizhou Academy of Agricultural Sciences Youth Fund Project [2024]13Guizhou Province agricultural research plan project NZ[2013]3013Guizhou Province Basic Research Program (Natural Science) General Project MS(2025)295Guizhou province mountain agriculture key technology research project GZNYGJHX-2024002Guizhou Province Science and technology support plan project No.[2020]1Y004Guizhou Province Tea industry technology system No.GZCYCYJSTX-05Guizhou Provincial Science and Technology Plan Project [2024]084Guizhou Provincial Science and Technology Plan Support Project [2023]063Guizhou Science and Technology Cooperation Project Qian MS [2025]296Guizhou Science and Technology Integration and Application (Conversion and Application of Circular Economy Technology for Edible Fungi and Tea Industry in Guizhou Province) [2024]026-5National key research and development program project 2021YFD1100305Research on key technologies of digital matching of main characteristic agricultural products in Guizhou Qian Nongke GJHX[2025]06Tongren Science and Technology Project TR[2022]40
6 · The paper itself

Abstract

'Qiancha 1' is an excellent raw material for manufacturing white tea. The effects of different drying parameters on the quality performance of 'Qiancha 1' white tea remain poorly understood, which restricts the precise regulation of the quality of 'Qiancha 1' white tea. In this research, we systematically investigated the influence of drying temperature (65 °C, 75 °C, and 90 °C) and drying duration (1 h, 2 h, and 3 h) on its non-volatile and volatile compositions, using sensory evaluation, E-tongue, and non-volatilomic and volatilomic analyses. The results showed that the tea sample dried at 65 °C for 3 h had a sweet, mellow, and fresh flavor and scored 95 points, but high-temperature drying (90 °C) could promote increased bitterness and decreased sweetness. High-temperature drying was closely related to a caramel-like and milk-like flavor, which promoted an increase in the content of terpenoids, heterocycle compounds, and esters. During drying, the flavonoid and phenolic acid content increased markedly, contributing to bitterness and astringency, while nucleotides, amino acids, and their derivatives decreased, leading to a reduced umami intensity. A total of 37 key taste-active metabolites were identified, including bitter compounds (e.g., alkaloids), sweet compounds (e.g., phenolic acids), and umami compounds (e.g., nucleotides), whose dynamic changes directly influenced the taste profile of white tea. High-temperature drying promoted an increase in the content of volatile metabolites, such as terpenoids, heterocyclics, and esters, while low-temperature and long-duration drying was beneficial for preserving volatile metabolites like heptanal. 2-Methoxy-3-(1-methylethyl)-pyrazine was determined as the volatile compound with the highest rOAV, providing a sweetness and caramel-like flavor. Overall, the metabolomic analysis revealed that the content of flavonoids and phenolic acids increased after the drying process, which was related to the bitter and astringent taste of the tea liquor. The content of nucleotides, amino acids, and their derivatives decreased after drying, which caused the umami of the tea liquor to weaken. This study provides a theoretical basis for the optimization of the 'Qiancha 1' white tea drying process.

Indexed as

drying techniqueflavor qualitymetabolomicQiancha 1white tea

Identifiers

PMID41227757
PMCPMC12610232

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.