Evidence map›Paper›PMID 42121421›Full record

ArticleFoods (Basel, Switzerland)2026

Analysis of Changes in Taste Characteristics of Coffee at Different Primary Processing Methods Using E-Tongue, Untargeted Metabolomics and WGCNA.

Ying Liang, Yaqian Yuan, Jia Wang, Wenxue Chen, Weijun Chen, Qiuping Zhong, Jianfei Pei, Chun Chen, Xiong Fu, Rongrong He and 1 more

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 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

11 authors.

Ying LiangHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.
Yaqian YuanHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.
Jia WangHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.
Wenxue ChenHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.
Weijun ChenHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.
Qiuping ZhongHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.
Jianfei PeiHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.
Chun ChenSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.ORCID 0000-0002-2178-1438
Xiong FuSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.
Rongrong HeHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.
Haiming ChenHainan Nongken Investment Holding Group Co., Ltd., Collaborative Innovation Laboratory, College of Food Sciences & Engineering, Hainan University, 58 People Road, Haikou 570228, China.ORCID 0000-0002-8985-2538

Funding

Hainan Province Science and Technology Special Fund ZDYF2023GXJS157Hainan Province Science and Technology Special Fund ZDYF2024XDNY199
6 · The paper itself

Abstract

The primary processing shapes the taste characteristics of coffee beans, while the regulation pathways remain unclear. Coffee beans processed by five methods-dry processing (DP), wet processing (WP), red honey (RH), black honey (BH) and anaerobic fermentation (AF)-were evaluated using electronic tongue analysis, sensory evaluation, and untargeted metabolomics. Sensory evaluation scores for mouthfeel, balance, and overall were higher in BH and AF. Conversely, the WP and DP exhibited heightened bitterness and astringency responses on the electronic tongue sensors, particularly for the former. The multigroup metabolomic comparison identified 808 DMs, and WGCNA revealed eight sensory-related modules containing 467 hub metabolites, mainly amino acids and derivatives, organic acids, alkaloids, and phenolic acids. KEGG analysis demonstrated that pathways such as caffeine metabolism and glycerophospholipid metabolism were the main pathways responsible for the metabolic differences. Further correlation analysis revealed potential flavor components closely associated with key taste characteristics. 1,3,4,5-tetrahydroxycyclohexanecarboxylic acid and Tyr demonstrated positive associations with bitterness, while TPC, TFC, Gly, and Met exhibited negative correlations with bitterness and astringency. Glu demonstrated a positive correlation with umami. These findings elucidate the material basis by which the primary processing modulates non-volatile compounds and taste perception, offering new insights into enhancing coffee quality.

Indexed as

Hainan Robusta coffeeprimary processing methodstaste characteristicsuntargeted metabolomicsweighted gene co-expression network analysis

Identifiers

PMID42121421
PMCPMC13163802

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