Evidence map›Paper›PMID 40064439›Full record

ArticleJournal of advanced research2025

Reshaped local microbiology metabolism by raw tea according to pile fermentation in the dark tea.

Yating Guo, Yani Pan, Xinyu Feng, Haowei Guo, Liping Liu, Kexin Zhang, Haojun Xie, Binkai Zhu, Shuying Gong, Qiang Chu and 2 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Impact of co-fermentation withFrontiers in nutrition · 2026
    Article
  8. 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

12 authors.

Yating GuoTea Research Institute, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China.
Yani PanTea Research Institute, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China.
Xinyu FengTea Research Institute, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China.
Haowei GuoTea Research Institute, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China.
Liping LiuHuzhou Key Laboratory of Innovation and Application of Agricultural Germplasm Resources, Huzhou Academy of Agricultural Sciences, Huzhou 313001, China.
Kexin ZhangHuzhou Key Laboratory of Innovation and Application of Agricultural Germplasm Resources, Huzhou Academy of Agricultural Sciences, Huzhou 313001, China.
Haojun XieYuyao Agricultural Mechanization Technology Promotion Center, Yuyao 315400, China.
Binkai ZhuZhejiang Wuyi Camelkowloon Brick Tea Co., LTD, Wuyi 321200, China.
Shuying GongTea Research Institute, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China.
Qiang ChuTea Research Institute, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China. Electronic address: 0619363@zju.edu.cn.
Hua FangInstitute of Pesticide and Environmental Toxicology, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China. Electronic address: agri@zju.edu.cn.
Ping ChenTea Research Institute, College of Agriculture & Biotechnology, Zhejiang University, Hangzhou 310058, China. Electronic address: pingchen@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTraditionally, the mechanism of dark tea quality formation has centered on microorganisms, with quality regulated by manipulating microorganisms and their fermentation environment. Nevertheless, raw teas, the natural selective medium of microbial community, was completely ignored in the formation of dark tea unique flavors.

objectivesThis study aims to uncover the previously unappreciated interactions between raw tea and microorganisms, demonstrating the significant role of raw tea in the formation of dark tea quality.

methodsSun-dried raw tea (SDT), baked raw tea (BT), and pan-fried raw tea (PFT) were pile fermented. Chemical profiles, microbial communities, and sensory qualities were assessed by metabolomics, high-throughput sequencing, and sensory evaluation, with correlation and multiple factor analyses used to explore their relationships.

resultsCompared to PFT and BT, SDT had 18 % lower flavonoid content and 26 % lower catechin content, which favored dominant Agathobacter and Wickerhamomyces. Wickerhamomyces contributed to flower aroma by producing alcohols, esters and terpenes, while Agathobacter amplified acid production. The distinctive dominant bacterium Acidovorax in BT was positively correlated with alcohols and hydrocarbons, with Pearson's r > 0.6, resulting in a 47 % increase in volatile alcohol level, enhancing the fresh and refreshing attributes. A 70-80 % increase in iron concentration in PFT compared to SDT and BT resulted in the predominance of Geobacter, which exhibited a negative correlation with aldehydes. The presence of distinctive bacteria, Streptococcus and Ligilactobacillus, in PFT led to a significant rise in volatile acid content, increasing from 5 % to 25 %.

conclusionThe chemical profiles of raw tea could reshape local microbiota, which then drives unique qualities of dark tea. This indicates dark tea quality is not passively shaped by the environmental microorganisms, but actively screened by raw tea chemistry. This study paves the way for targeted manipulation of raw tea chemical profiles to achieve desired dark tea flavor characteristics.

Indexed as

BacteriaCamellia sinensisFermentationMicrobiotaTeaFood MicrobiologyHumansMetabolomicsTasteTeaChemical profileMicroorganismsQuality formation mechanismSensory evaluationTea flavor

Identifiers

PMID40064439
PMCPMC12684949

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.