Evidence map›Paper›PMID 42818996›Full record

ArticleFood science & nutrition2026

Multidimensional Quality Assessment of Guizhou Teas Integrating Thermogravimetric, Amino Acid, and Trace Element Analyses.

Libing Zhou, Chunli Huang

Abstract read
In one paragraph

Article in Food science & nutrition, 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

2 authors.

Libing ZhouGuangxi Science & Technology Normal University Laibin Guangxi China.ORCID https://orcid.org/0000-0002-3270-3240
Chunli HuangGuangxi Science & Technology Normal University Laibin Guangxi China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The constituents of tea leaves are crucial determinants of the quality and nutritional value of tea. Traditional evaluation methods, which depend on sensory assessment or isolated indicators, have certain limitations. Consequently, this project aimed to develop a multidimensional and systematic comprehensive evaluation system for assessing tea nutrition and quality. In this study, the quality of five tea varieties from Guizhou, China, namely, Qingyu tiny kuding tea, Guiding yunwu tribute tea, Suiyang mountain silver flower tea, Shiqian moss tea, and Pu'an black tea, was comprehensively evaluated by integrating combustion heat, combustibility/combustion stability, ash, crude fiber, fat, trace element (ICP-OES), amino acid (A300 analyzer), and thermogravimetric parameter information. The results indicated that Qingyu tiny kuding tea was the highest quality, followed by Shiqian moss tea, according to the results of the multi-indicator evaluation (

Indexed as

amino acidICP–OESOPLS–DAtea quality assessmentthermogravimetric analysis

Identifiers

PMID42818996
PMCPMC13624708

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.