Evidence map›Paper›PMID 41311636›Full record

ArticleFood science & nutrition2025

Evaluation of Astringent Compounds Using Electronic Tongue Technology.

Meng-Yao Wang, Zhao-Lin Sun, Juan Lü, Hao Zhu, Zeng-Hui Zhang, Xi Zhang, Zhi-Gang Guo, Yao Wang, Jing Yang

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. 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

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

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

9 authors.

Meng-Yao WangCollege of Tobacco Science and Engineering Zhengzhou University of Light Industry Zhengzhou China.
Zhao-Lin SunTechnical Center of Shaanxi Tobacco Industry Co. Ltd. Xi'an China.
Juan LüTechnical Center of Shaanxi Tobacco Industry Co. Ltd. Xi'an China.
Hao ZhuTechnical Center of Shaanxi Tobacco Industry Co. Ltd. Xi'an China.
Zeng-Hui ZhangTechnical Center of Shaanxi Tobacco Industry Co. Ltd. Xi'an China.
Xi ZhangTechnical Center of Shaanxi Tobacco Industry Co. Ltd. Xi'an China.
Zhi-Gang GuoTechnical Center of Shaanxi Tobacco Industry Co. Ltd. Xi'an China.
Yao WangTechnical Center of Shaanxi Tobacco Industry Co. Ltd. Xi'an China.
Jing YangCollege of Tobacco Science and Engineering Zhengzhou University of Light Industry Zhengzhou China.ORCID https://orcid.org/0009-0005-2773-5335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electronic tongue (E-tongue) is an emerging technology that enables the rapid and objective evaluation of various astringent compounds. This study investigated E-tongue measurements and human sensory evaluation to analyze the concentration-dependent astringency responses of seven compounds. Difference analysis, principal component analysis (PCA), and cluster analysis were applied to differentiate the compounds based on their taste profiles. The results revealed distinct relationships between E-tongue response values and concentration. Specifically, epigallocatechin gallate (EGCG) and epigallocatechin (EGC) exhibited positive correlations with concentration, whereas tea polyphenols, tannic acid, and procyanidin showed negative correlations. In contrast, gallic acid and chlorogenic acid produced weak astringency responses. Difference analysis demonstrated significant taste variations across concentrations; PCA and cluster analysis further validated the E-tongue's capability for distinct discrimination of astringent compounds. Regression analysis between E-tongue measurements and human sensory scores demonstrated strong correlations for EGCG, EGC, tea polyphenols, tannic acid, and procyanidin, with procyanidin and EGCG exhibiting the best linearity. Predictive models achieved high accuracy (

Indexed as

astringentcluster analysiselectronic tongueprincipal component analysissensory evaluation

Identifiers

PMID41311636
PMCPMC12648432

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.