Evidence map›Paper›PMID 40491707›Full record

ArticleFood chemistry: X2025

Exploration of the substances and key processing steps related to the sweetness of Niangniang tea.

Qi Wei, Xiaobo Liu, Shanshan Long, Luqin Zhu, Hongzhiyuan Yang, Xue Song, Yishu Peng, Taolin Chen, Jianjun Liu, Beibei Wen and 1 more

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Qi WeiThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Xiaobo LiuThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Shanshan LongThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Luqin ZhuThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Hongzhiyuan YangTea Research Institute, Zhejiang University, Hangzhou 310058, China.
Xue SongThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Yishu PengThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Taolin ChenThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Jianjun LiuThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Beibei WenThe College of Tea Science at Guizhou University, Guiyang 550000, China.
Meifeng LiThe College of Tea Science at Guizhou University, Guiyang 550000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Niangniang tea (NNT) is processed using a unique twice bunch-drying method, which tastes very sweet. In order to explore the key substances related to the sweetness of NNT, we processed green tea (GT), yellow tea (YT) and NNT and conducted a sensory evaluation and metabolomic analysis. NNT was the sweetest, with the lowest contents of total polyphenol and caffeine and highest content of soluble sugar. A total of 365 differential substances were identified in all the samples, most of which were flavonoids, alkaloids, and terpenoids. Thirty differential substances, especially caffeine, turanose, kojibiose,

Indexed as

Key processing stepKey substancesMetabolomeNiangniang teaSweetness

Identifiers

PMID40491707
PMCPMC12148608

What OpenQuestion holds

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Registered trials

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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.