Evidence map›Paper›PMID 39968040›Full record

ArticleFood chemistry: X2025

Quantitative descriptive analysis, non-targeted metabolomics and molecular docking reveal the dynamic aging and taste formation mechanism in raw Pu-erh tea during the storage.

Bingsong Ma, Cunqiang Ma, Binxing Zhou, Xuan Chen, Yuhua Wang, Yifan Li, Junfeng Yin, Xinghui Li

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. The Chemistry of Time: Flavor Evolution and Functional Health Benefits in Aged Tea.Comprehensive reviews in food science and food safety · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
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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

8 authors.

Bingsong MaCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Cunqiang MaCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Binxing ZhouCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, Yunnan, China.
Xuan ChenCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Yuhua WangCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
Yifan LiTea Research Institute Chinese Academy of Agricultural Sciences, Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, 9 South Meiling Road, Hangzhou 310008, China.
Junfeng YinTea Research Institute Chinese Academy of Agricultural Sciences, Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, 9 South Meiling Road, Hangzhou 310008, China.
Xinghui LiCollege of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural storage promotes raw Pu-erh tea (RaPT) aging along with chemical conversion and flavor evolution. In this study, quantitative descriptive analysis (QDA) and UHPLC-Orbitrap-MS/MS-based non-targeted metabolomics were performed to illustrate dynamic changes of taste compounds across 18 RaPT samples during the storage. Multivariate statistical analyses effectively classified stored RaPT into three groups based on storage stages, confirming that storage duration, rather than environmental conditions, primarily influences the taste profile and the changes in non-volatile compounds. A total of 509 characteristic metabolites (VIP > 1.0,

Indexed as

Aging mechanismKokumiMolecular dockingStored teaTaste compounds

Identifiers

PMID39968040
PMCPMC11833447

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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.