Seasonal influence on the microbial diversity and flavor substances in the strong flavor Daqu fermentation

Baijiu is highly dependent on open Daqu fermentation, which is easily affected by seasonal fluctuations. This study systematically analyzed winter (WID) and summer (SUD) strong flavor Daqu by integrating physicochemical analysis, microbial community detection, volatile component determination, and metabolomics technology. Results showed SUD had significantly higher starch consumption and acidity than WID, directly attributed to enhanced microbial activity and enzymatic efficiency. Metagenomic studies have identified key enzymes including α-amylase (EC:3.2.1.1) and carboxylic esterase (EC:3.1.1.1), as well as CAZy families such as GH65 and GH73. Based on this finding, the dominant microbes in SUD, such as <i>Lactobacillus</i>, <i>Weissella</i>, and <i>Thermoactinomyces</i>, can not only increase community diversity but also play a promoting role in starch saccharification and ester synthesis. Metabolomics detected 1034 differential metabolites, with SUD enriched in acetic/lactic acids and lipids that are critical flavor precursors. Redundancy analysis confirmed temperature as the core factor driving microbial succession and metabolic pathways. <i>Thermoascus</i> is enriched in high-temperature environments, and the affected metabolic pathways include cofactor biosynthesis and amino acid metabolism. This study clarified seasonal impacts on Daqu quality via microbe-enzyme-metabolite synergy, providing a theoretical and technical basis for stabilizing Baijiu production through microbial regulation and precise fermentation parameter control.

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Publication Details

Journal
Food Chemistry Molecular Sciences
Published
2025-12-01
DOI
https://doi.org/10.1016/j.fochms.2025.100332
Citations
2
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
2.32
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article

Seasonal influence on the microbial diversity and flavor substances in the strong flavor Daqu fermentation

Mengyang Huang, Suyi Zhang, Xuebin Lu, Yuqing Che et al.
2 citations
Food Chemistry Molecular Sciences
Fermentation and Sensory Analysis
2.32
article

Seasonal influence on the microbial diversity and flavor substances in the strong flavor Daqu fermentation

Mengyang Huang, Suyi Zhang, Xuebin Lu, Yuqing Che, Guoli Xue, Yi Dong, Zihan Chen, Han Wang, Jing Yu, Ping Song, Qing Hui
article en
2 citations

Abstract

Baijiu is highly dependent on open Daqu fermentation, which is easily affected by seasonal fluctuations. This study systematically analyzed winter (WID) and summer (SUD) strong flavor Daqu by integrating physicochemical analysis, microbial community detection, volatile component determination, and metabolomics technology. Results showed SUD had significantly higher starch consumption and acidity than WID, directly attributed to enhanced microbial activity and enzymatic efficiency. Metagenomic studies have identified key enzymes including α-amylase (EC:3.2.1.1) and carboxylic esterase (EC:3.1.1.1), as well as CAZy families such as GH65 and GH73. Based on this finding, the dominant microbes in SUD, such as <i>Lactobacillus</i>, <i>Weissella</i>, and <i>Thermoactinomyces</i>, can not only increase community diversity but also play a promoting role in starch saccharification and ester synthesis. Metabolomics detected 1034 differential metabolites, with SUD enriched in acetic/lactic acids and lipids that are critical flavor precursors. Redundancy analysis confirmed temperature as the core factor driving microbial succession and metabolic pathways. <i>Thermoascus</i> is enriched in high-temperature environments, and the affected metabolic pathways include cofactor biosynthesis and amino acid metabolism. This study clarified seasonal impacts on Daqu quality via microbe-enzyme-metabolite synergy, providing a theoretical and technical basis for stabilizing Baijiu production through microbial regulation and precise fermentation parameter control.

Food Chemistry Molecular SciencesVol. 11
Nanjing Normal University (CN)
Openalex Percentile: Top 10%
Fermentation and Sensory Analysis
2.32
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