Evidence map›Paper›PMID 39272565›Full record

ArticleFoods (Basel, Switzerland)2024

Analysis of Metabolite Differences in Different Tea Liquors Based on Broadly Targeted Metabolomics.

Xiongyu Li, Miao Niu, Hongyan Yang, Xianxiu Zhou, Jianliang Ding, Yawen Xu, Caiyou Lv, Jiahua Li

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Xiongyu LiCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, China.
Miao NiuCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, China.
Hongyan YangCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, China.
Xianxiu ZhouCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, China.
Jianliang DingCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, China.
Yawen XuCollege of Pu-Erh Tea, West Yunnan University of Applied Sciences, Puer 665000, China.
Caiyou LvCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, China.
Jiahua LiCollege of Tea Science, Yunnan Agricultural University, Kunming 650201, China.

Funding

caiyou lyu CAR-19
6 · The paper itself

Abstract

To expand the development of characteristic extension products of Yunnan tea and improve the utilization rate of Yunnan tea resources, in this study, we compared the metabolite composition among raw Pu-erh tea, ripe Pu-erh tea prepared with glutinous rice (according to tea to glutinous rice ratio of 1:3), and ripe Pu-erh tea prepared with a mixture of sorghum, rice, glutinous rice, wheat, and corn as raw materials (according to a tea to glutinous rice ratio of 1:3). Rice flavor liquor prepared with 100% glutinous rice served as a control. The raw Pu-erh tea liquor (RAWJ), ripe Pu-erh tea liquor (RIPEJ), ripe Pu-erh tea mixed grain liquor (HHLSJ), and rice-flavor liquor (MJ) were all brewed by semi-solid fermentation. The non-volatile components of the liquor samples were analyzed by ultra-high-performance liquid chromatography-tandem mass spectrometry as a broadly targeted metabolomics technique. A total of 691 metabolites were identified from the four samples. Among them, 674, 671, 633, and 667 species were detected in RAWJ, RIPEJ, HHLSJ, and MJ samples, respectively. Venn diagram analysis demonstrated 19, 21, and 14 unique metabolites in RAWJ, RIPEJ, and HHLSJ, respectively, compared with the metabolite composition of MJ. Flavonoids are the most important differential metabolite between tea liquor and rice-flavor liquor. This study provides a theoretical basis for the development of tea liquor products and offers insight into the difference in non-volatile components between tea liquor and rice-flavor liquor.

Indexed as

metabolomicsnon-volatile compoundPu-erh teatea liquor

Identifiers

PMID39272565
PMCPMC11394687

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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.