Dynamic Changes in Microbial Communities and Chemical Compounds during the Semi-Dry Fermentation Processing of Coffea arabica

The semi-dry fermentation processing (SFP) of Coffea arabica is a traditional primary processing method in the coffee industry, which crucially impacts the coffee’s flavor. To further obtain useful information on microbial communities and chemical compounds during the SFP of C. arabica from Yunnan, China, the microbial community structures and the differentially changed non-volatile compounds (DCnVCs) were comprehensively analyzed. The results showed that Tatumella, Staphylococcus, Klebsiella, Brevundimonas, and Gluconobacter were the most prevalent bacteria genera, and Candida, Hannaella, Hanseniaspora, Pichia, and Lachancea were the most abundant fungal genera. Furthermore, 117 DCnVCs were found in the fermentation-finished samples compared to the raw materials. Therefore, this study can provide useful information for understanding the SFP of coffee beans, and its impact on coffee’s quality parameters.

Authors

Institutions

Publication Details

Journal
Fermentation
Published
2024-08-19
DOI
https://doi.org/10.3390/fermentation10080435
Citations
6
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
2.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Changes in Microbial Communities and Chemical Compounds during the Semi-Dry Fermentation Processing of Coffea arabica

Kunyi Liu, Wenjuan Yuan, Xiaojing Shen, Weiwei Jiang et al.
6 citations
Fermentation
Coffee research and impacts
2.69
article

Dynamic Changes in Microbial Communities and Chemical Compounds during the Semi-Dry Fermentation Processing of Coffea arabica

Kunyi Liu, Wenjuan Yuan, Xiaojing Shen, Weiwei Jiang, Yi Guo, Bintao Peng, Qi Wang
article en
6 citations

Abstract

The semi-dry fermentation processing (SFP) of Coffea arabica is a traditional primary processing method in the coffee industry, which crucially impacts the coffee’s flavor. To further obtain useful information on microbial communities and chemical compounds during the SFP of C. arabica from Yunnan, China, the microbial community structures and the differentially changed non-volatile compounds (DCnVCs) were comprehensively analyzed. The results showed that Tatumella, Staphylococcus, Klebsiella, Brevundimonas, and Gluconobacter were the most prevalent bacteria genera, and Candida, Hannaella, Hanseniaspora, Pichia, and Lachancea were the most abundant fungal genera. Furthermore, 117 DCnVCs were found in the fermentation-finished samples compared to the raw materials. Therefore, this study can provide useful information for understanding the SFP of coffee beans, and its impact on coffee’s quality parameters.

FermentationVol. 10(8)
Yunnan Agricultural University (CN), Yibin University (CN), Yibin Vocational and Technical College
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Coffee research and impacts
2.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.