Evidence map›Paper›PMID 41003900›Full record

ArticleBioresources and bioprocessing2025

Characterization of fermentation parameters, volatile compounds and microbial community structure of fermented grains in the upper and lower layers during strong-flavor Baijiu fermentation.

Jie Deng, Chao-Jiu He, Chun-Hui Wei, Hui-Bo Luo, Zhi-Guo Huang

Abstract read
In one paragraph

Article in Bioresources and bioprocessing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 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

5 authors.

Jie DengLiquor Making Biotechnology and Application Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, 644000, P. R. China. sgdengjie@suse.edu.cn.ORCID http://orcid.org/0000-0003-3525-0950
Chao-Jiu HeJing Brand Co. Ltd, Daye, 4351000, P. R. China.
Chun-Hui WeiJing Brand Co. Ltd, Daye, 4351000, P. R. China.
Hui-Bo LuoLiquor Making Biotechnology and Application Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, 644000, P. R. China.
Zhi-Guo HuangLiquor Making Biotechnology and Application Key Laboratory of Sichuan Province, Sichuan University of Science and Engineering, Yibin, 644000, P. R. China. hzgwww@126.com.

Funding

Key Laboratory of Engineering Dielectrics and Its Application (Harbin University of Science and Technology), Ministry of Education NJ2022-07Sichuan Province Science and Technology Support Program 20211005Sichuan Province Science and Technology Support Program 2024ZYD0252
6 · The paper itself

Abstract

Strong-flavor Baijiu (SFB) is produced using a solid-state fermentation system, but the impact of stratified fermented grains on fermentation remains unclear. Therefore, in a typical distillery plant, we evaluated the physical and chemical composition, volatile compound profile, and microbial community of fermented grains in SFB both above (FG-A) and below (FG-B) the Huangshui line. Significant differences in fermentation parameters between FG-A and FG-B were observed after 30 days of fermentation (P < 0.05). Additionally, the partial least squares projection to latent structure discriminant analysis (PLS-DA) revealed distinct differences in volatile compounds between FG-B and FG-A, identifying 26 discriminant markers. The diversity of short-chain fatty acids (SCFAs) and their esters were higher in FG-B compared to FG-A. Furthermore, microbial diversity and abundance have differed significantly between the two layers of fermented grains (P < 0.05), included 17 differential genera. Correlation and pathway enrichment analyses indicated that the higher SCFA content in FG-B could be attributed to the greater abundance of acid-producing microorganisms compared to FG-A. This study highlights the differences between the two layers of fermented grains in SFB fermentation, offering new insights into solid-state fermentation and expanding the current understanding of the traditional SFB fermentation process.

Indexed as

BaijiuMicrobial diversitySolid-state fermentationVolatile compounds

Identifiers

PMID41003900
PMCPMC12474805

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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.