Evidence map›Paper›PMID 39234548›Full record

ArticleFrontiers in microbiology2024

Nature of back slopping kombucha fermentation process: insights from the microbial succession, metabolites composition changes and their correlations.

Ting Liao, Xiang-Ru Li, Li Fan, Bo Zhang, Wei-Ming Zheng, Jia-Jia Hua, Li Li, Norlia Mahror, Lai-Hoong Cheng

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

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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

9 authors.

Ting LiaoCollege of Tea and Food Science, Wuyi University, Wuyishan, China.
Xiang-Ru LiCollege of Tea and Food Science, Wuyi University, Wuyishan, China.
Li FanCollege of Tea and Food Science, Wuyi University, Wuyishan, China.
Bo ZhangCollege of Tea and Food Science, Wuyi University, Wuyishan, China.
Wei-Ming ZhengCollege of Tea and Food Science, Wuyi University, Wuyishan, China.
Jia-Jia HuaCollege of Tea and Food Science, Wuyi University, Wuyishan, China.
Li Li *College of Tea and Food Science, Wuyi University, Wuyishan, China.
Norlia MahrorFood Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Penang, Malaysia.
Lai-Hoong Cheng *Food Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Penang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kombucha, a fermented tea prepared with a symbiotic culture of bacteria and yeast (SCOBY), offers a unique and unpredictable home-brewed fermentation process. Therefore, the need for a controlled kombucha fermentation process has become evident, which requiring a thorough understanding of the microbial composition and its relationship with the metabolites produced. In this study, we investigated the dynamics of microbial communities and metabolites over a 12-day fermentation period of a conventional kombucha-making process. Our findings revealed similarities between the microbial communities in the early (0-2 days) and late (10-12 days) fermentation periods, supporting the principle of back-slopping fermentation. Untargeted metabolite analysis unveiled the presence of harmful biogenic amines in the produced kombucha, with concentrations increasing progressively throughout fermentation, albeit showing relatively lower abundance on days 8 and 12. Additionally, a contrasting trend between ethanol and caffeine content was observed. Canonical correspondence analysis highlighted strong positive correlations between specific bacterial/yeast strains and identified metabolites. In conclusion, our study sheds light on the microbial and metabolite dynamics of kombucha fermentation, emphasizing the importance of microbial control and quality assurance measures in the production process.

Indexed as

clean fermentationkombuchametabolomemicrobial identificationsymbiosis

Identifiers

PMID39234548
PMCPMC11371673

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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.