Evidence map›Paper›PMID 42519770›Full record

ArticleFood chemistry: X2026

Effects of different categories of tea powders incorporated into fresh noodles on quality, non-volatile metabolites, and aroma characteristics.

Haozhen Li, Xiangjun Chen, Shuyao Wang, HuiHui Zhao, Yi Xie, Long Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Haozhen LiCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an 271018, China.
Xiangjun ChenCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an 271018, China.
Shuyao WangCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an 271018, China.
HuiHui ZhaoRi Zhao Cha Cang Tea Co. Ltd, Rizhao 276800, China.
Yi XieCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an 271018, China.
Long YangCollege of Plant Protection, Agricultural Big-Data Research Center and Key Laboratory of Agricultural Film Application of Ministry of Agriculture and Rural Affairs, Shandong Agricultural University, Tai'an 271018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tea powder incorporation is a promising strategy for developing functional fresh noodles, but the effects of different tea powders on noodle quality and metabolic characteristics remain unclear. In this study, 20% of wheat flour was replaced with four tea powders, namely matcha, chenpi-polygonatum tea, rose black tea, and jasmine tea, to evaluate changes in structural characteristics, quality traits, and both volatile and non-volatile metabolites. Tea powder promoted a denser starch-gluten matrix, thereby improving cooking performance, texture, and overall sensory quality and acceptability, while significantly increasing starch and phenolic contents, as well as

Indexed as

Aroma characteristicsFlavonoid biosynthesisFresh noodlesNon-volatile metabolitesTea powder

Identifiers

PMID42519770
PMCPMC13382456

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LicenceCC BY
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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.