Evidence map›Paper›PMID 38147274›Full record

ArticleWorld journal of microbiology & biotechnology2023

Correlational analysis of physicochemical indexes, microbial communities, and volatile components in light-flavor Daqu from north and south regions of China.

Qi Yu, Feiyan Mou, Junwen Xiao, Cheng Zhan, Liang Li, Xu Chang, Xiaoyuan Dong, Maobin Chen, Xinrui Wang, Mei Chen and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of microbiology & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Unraveling flavor formation inFood chemistry: X · 2025
    Review
  4. Article
  5. Article
  6. Article
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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

11 authors at 1 institution in 1 country.

Qi Yu *Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Feiyan Mou *Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Junwen XiaoCooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Cheng ZhanCooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Liang LiHuanghelou Distillery Co. Ltd, Wuhan, 430068, China.
Xu ChangAngel Yeast Co. Ltd, Yichang, 443200, China.
Xiaoyuan DongHuanghelou Distillery Co. Ltd, Wuhan, 430068, China.
Maobin ChenCooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Xinrui WangCooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Mei ChenCooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
Shangling FangCooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China. hgchenmaobin@163.com.
Hubei University of Technology · CN

Funding

13th Five-Year Plan" National Key R&D Program Key Special Project 2016YFD0400500
6 · The paper itself

Abstract

Daqu is of great significance to the brewing process of Baijiu, and there are variations in the light-flavor Baijiu Daqu in different regions. However, few studies have been conducted on light-flavor Daqu from the north and south regions of China. In this study, the physicochemical indices, volatile flavor components, and microbial community structure of two types of Daqu from the north and south regions of China were comparatively analyzed. The study findings reveal that Daqu originating from the southern region of China (HB) exhibits superior moisture content, acidity, starch content, and saccharification power. In contrast, Daqu from the northern region of China (SX) displays higher fermentation, esterification, and liquefaction power. The analysis of the microbial community structure revealed that HB was dominated by Bacillus, Kroppenstedtia, Saccharomycopsis, and Thermoascus, while SX was dominated by Bacillus, Prevotella, and Saccharomycopsis. The analysis detected a total of 47 volatile components in both HB Daqu and SX Daqu. The volatile components of pyrazine were significantly more abundant in HB Daqu than in SX Daqu, while alcohol compounds were more prominent in SX Daqu than in HB Daqu. In addition, the RDA analysis established a correlation between dominant microorganisms and volatile components. Cyanobacteria, Fusobacteriota, Ascomycota, Blastocladiomycota, Basidiomycota, and Mucormyce exhibited positive correlations with a significant proportion of the key volatile compounds. This study establishes a scientific foundation for improving the quality of light-flavor Daqu liquor in different regions of China.

Indexed as

BacillusMicrobiotaChinaEsterificationEthanolEthanolBaijiuDaquFlavor componentsMicroorganisms

Identifiers

PMID38147274
OpenAlexW4390233764

What OpenQuestion holds

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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.