Evidence map›Paper›PMID 39974542›Full record

ArticleFood chemistry: X2025

Characterization of volatile compounds and microbial diversity of Arabica coffee in honey processing method based on different mucilage retention treatments.

Faguang Hu, Haohao Yu, Xingfei Fu, Zhongxian Li, Wenjiang Dong, Guiping Li, Yanan Li, Yaqi Li, Bingqing Qu, Xiaofei Bi

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Co-Fermentation withFoods (Basel, Switzerland) · 2025
    Article
  6. 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

10 authors.

Faguang HuInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.
Haohao YuInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.
Xingfei FuInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.
Zhongxian LiInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.
Wenjiang DongSpice and Beverage Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wanning 571533, Hainan, China.
Guiping LiInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.
Yanan LiInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.
Yaqi LiInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.
Bingqing QuInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.
Xiaofei BiInstitute of Tropical and Subtropical Cash Crops, Yunnan Academy of Agriculture Science, Baoshan 678000, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study combined HS-SPME-GC-MS and high-throughput sequencing to explore how honey-processing methods with varying mucilage retentions impact volatile compounds and microbial communities in green coffee beans. HS-SPME-GC-MS revealed that the RH group (75 % to 80 % mucilage retention) had the highest relative content of volatile compounds. According to rOAV >1, 13 key aroma compounds were identified, contributing to flavors like "mellow" and "fruity". High-throughput sequencing identified seven dominant bacterial genera and four dominant fungal genera, with higher diversity of fungi than bacteria across treatments. Correlation analysis indicated that bacteria and fungi contribute to aroma formation, with bacteria more active in low-mucilage and fungi in high-mucilage treatments. Overall, the RH group was optimal for the aroma quality and bioactivity of green coffee beans. The findings of this research offers insights into aroma compound-microbe interactions in coffee mucilage fermentation, helping coffee producers optimize process parameters for better-quality coffee products.

Indexed as

Arabica coffeeHoney processingHS-SPME-GC–MSMicroorganismsMucilage retentionVolatile compounds

Identifiers

PMID39974542
PMCPMC11838140

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.