Evidence map›Paper›PMID 42365777›Full record

ArticleUltrasonics sonochemistry2026

Flavor modulation of fermented degummed coffee beans by ultrasound and ultra-high pressure: metabolomic and volatile profiles.

Zilin Wang, Changyuan Li, Yu Zhou, Qimin Xie, Jiahe Dai, Jia Liu, Yang Tian, Liang Tao

Abstract read
In one paragraph

Article in Ultrasonics sonochemistry, 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

8 authors.

Zilin WangCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China. Electronic address: wangzilin928@163.com.
Changyuan LiCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China. Electronic address: lcy516hyy@163.com.
Yu ZhouCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China. Electronic address: ZY190642@163.com.
Qimin XieCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China. Electronic address: Glowonmin@163.com.
Jiahe DaiCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China; Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources, Ministry of Education, Yunnan Agricultural University, Kunming 650201, China; Yunnan Key Laboratory of Precision Nutrition and Personalized Food Manufacturing, Yunnan Agricultural University, Kunming 650201, China. Electronic address: daijiahe11@163.com.
Jia LiuCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China; Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources, Ministry of Education, Yunnan Agricultural University, Kunming 650201, China; Yunnan Key Laboratory of Precision Nutrition and Personalized Food Manufacturing, Yunnan Agricultural University, Kunming 650201, China. Electronic address: lhc712@126.com.
Yang TianCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China; Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources, Ministry of Education, Yunnan Agricultural University, Kunming 650201, China; Yunnan Key Laboratory of Precision Nutrition and Personalized Food Manufacturing, Yunnan Agricultural University, Kunming 650201, China. Electronic address: tianyang1208@163.com.
Liang TaoCollege of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China; Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources, Ministry of Education, Yunnan Agricultural University, Kunming 650201, China; Yunnan Key Laboratory of Precision Nutrition and Personalized Food Manufacturing, Yunnan Agricultural University, Kunming 650201, China. Electronic address: taowuliang@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study established a process in which physical pretreatments were applied after microbial fermentation and degumming, and evaluated how these treatments affected green coffee bean metabolite profiles and roasted-bean flavor. Relative to fermented green coffee beans without physical pretreatment (GF), ultrasound-pretreated fermented green coffee beans (GUS) and ultra-high-pressure-pretreated fermented green coffee beans (GUHP) showed significantly increased extractable contents of total sugars, reducing sugars, polyphenols, and flavonoids (P < 0.05). Metabolomic analysis identified 144 and 656 differential metabolites in GUS and GUHP, respectively, with amino acid metabolism and α-linolenic acid metabolism among the commonly enriched pathways. Compared with green beans, roasting increased the number of compounds of pyrazines and ketones by 13% and 16%, respectively. The two physical pretreatments were associated with different patterns of volatile composition in the roasted beans. GUS showed higher relative abundances of several furans and phenols, whereas GUHP showed greater changes in aldehydes, ketones, acids, and specific pyrazines. The three roasted groups had similar overall cupping scores but differed in the relative distribution of individual sensory attributes. These two physical pretreatments therefore produced different flavor-related compositional and sensory tendencies. Correlation analysis identified associations between volatile compounds and metabolites related to shikimate/phenylpropanoid metabolism, lipid metabolism, and amino acid derivatives. This study provides a theoretical basis for the precise modulation of roasted coffee flavor through the application of microbial fermentation and physical field pretreatment technologies.

Indexed as

CoffeaCoffeeFermentationMetabolomicsPressureTasteUltrasonic WavesVolatile Organic CompoundsFood, ProcessedCoffeeVolatile Organic CompoundsCoffee beansFermentationMetabolomicsPhysical pretreatmentVolatile flavor

Identifiers

PMID42365777
PMCPMC13330653

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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.