Evidence map›Paper›PMID 40547889›Full record

ArticleCurrent research in food science2025

Lipidomic profiling provides insights on Arabica coffee flavor diversity in different postharvest processing methods.

Yanbing Wang, Xiaoyuan Wang, Ping Du, Xiaogang Liu, Sufang He, Lirong Li, Xiaoqiong Liu, Zhenjia Chen

Abstract read
In one paragraph

Article in Current research in food science, 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

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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

8 authors.

Yanbing WangFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, 650500, Yunnan, PR China.
Xiaoyuan WangFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, 650500, Yunnan, PR China.
Ping DuResearch Center for Analysis and Measurement, Kunming University of Science and Technology, and Analytic & Testing Research Center of Yunnan, Kunming, 652094, PR China.
Xiaogang LiuFaculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, 650500, Yunnan, PR China.
Sufang HeResearch Center for Analysis and Measurement, Kunming University of Science and Technology, and Analytic & Testing Research Center of Yunnan, Kunming, 652094, PR China.
Lirong LiFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, 650500, Yunnan, PR China.
Xiaoqiong LiuDehong Tropical Agriculture Research Institute of Yunnan, Ruili, 678600, Yunnan, PR China.
Zhenjia ChenDehong Normal University, and China Coffee Engineering Research Center, Mangshi, 678400, Yunnan, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The processing methods of coffee cherries after harvesting can significantly affect the lipid composition of green coffee beans, thereby influencing their in-cup properties. This study utilized ultra-high performance liquid chromatography-electrospray ionization tandem mass spectrometry (UPLC-ESI-MS/MS) technology to investigate the impact of natural, washed, and honey processing methods on the lipid composition of green coffee beans, accompanied by sensory evaluations. A total of 510 lipids, covering 27 subclasses, were detected. Of these, 150 lipids showed significant differences before and after processing, and 37 lipids were identified as potential biomarkers for distinguishing the three processing methods. Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathway analysis revealed that glycerophospholipid metabolism was the key pathway for the formation of differential lipids among the various processing methods. Significant correlations were observed between lipid composition and the flavor diversity associated with different processing methods. The findings provide a crucial basis for understanding the lipid transformation of coffee during different processing methods and its impact on flavor quality characteristics.

Indexed as

CoffeeFlavor diversityLipid metabolismLipidomicPostharvest

Identifiers

PMID40547889
PMCPMC12178917

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.