Deciphering the characteristics of strong-flavor Daqu at different grades through integrated microbiome and metabolome analysis

In strong-flavor <i>Baijiu</i> production, <i>Daqu</i> quality is crucial, yet grading often relies on subjective evaluation. This study compares physical and chemical properties, metal content, microbial composition, and metabolic profiles of three <i>Daqu</i> grades (P90, F90, S90) using a multi-omics approach. P90 exhibits superior esterification power and is dominated by <i>Bacillus</i>, <i>Thermoactinomyce</i>, and <i>Thermomyces</i>, with enhanced ester formation and aromatic precursor accumulation. Although S90 has higher microbial diversity, its lower abundance of key functional strains may limit fermentation efficiency and flavor compound production. PICRUSt analysis reveals grade-specific differences in carbohydrate, amino acid, and nucleotide metabolism pathways. Metabolomic profiling identifies 23 amino acids and derivatives enriched in <i>Daqu</i>, primarily mapping to tryptophan, phenylalanine, and arginine-proline pathways. These likely contribute to aroma precursor synthesis and microbial stability. Overall, these findings elucidate the microbiome-metabolome interactions underlying <i>Daqu</i> quality grading and inform strategies for <i>Daqu</i> quality evaluation and improvement in <i>Baijiu</i> fermentation.

Authors

Institutions

Publication Details

Journal
Food Chemistry X
Published
2026-01-01
DOI
https://doi.org/10.1016/j.fochx.2026.103526
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deciphering the characteristics of strong-flavor Daqu at different grades through integrated microbiome and metabolome analysis

Xiaoyu Ding, Xiaopeng Guo, Chenguang Jia, Hongyuan Zhao et al.
Food Chemistry X
Fermentation and Sensory Analysis
article

Deciphering the characteristics of strong-flavor Daqu at different grades through integrated microbiome and metabolome analysis

Xiaoyu Ding, Xiaopeng Guo, Chenguang Jia, Hongyuan Zhao, Bingyun ZHANG, Donglin Ma, Jing Qiao, Jian Mao, Bo Zhang, Shuangping Liu, Jiaqi Fan
article en

Abstract

In strong-flavor <i>Baijiu</i> production, <i>Daqu</i> quality is crucial, yet grading often relies on subjective evaluation. This study compares physical and chemical properties, metal content, microbial composition, and metabolic profiles of three <i>Daqu</i> grades (P90, F90, S90) using a multi-omics approach. P90 exhibits superior esterification power and is dominated by <i>Bacillus</i>, <i>Thermoactinomyce</i>, and <i>Thermomyces</i>, with enhanced ester formation and aromatic precursor accumulation. Although S90 has higher microbial diversity, its lower abundance of key functional strains may limit fermentation efficiency and flavor compound production. PICRUSt analysis reveals grade-specific differences in carbohydrate, amino acid, and nucleotide metabolism pathways. Metabolomic profiling identifies 23 amino acids and derivatives enriched in <i>Daqu</i>, primarily mapping to tryptophan, phenylalanine, and arginine-proline pathways. These likely contribute to aroma precursor synthesis and microbial stability. Overall, these findings elucidate the microbiome-metabolome interactions underlying <i>Daqu</i> quality grading and inform strategies for <i>Daqu</i> quality evaluation and improvement in <i>Baijiu</i> fermentation.

Food Chemistry XVol. 33
Jiangnan University (CN), Lanzhou University of Technology (CN), Gansu Research Institute of Chemical Industry (CN), Key Laboratory of Guangdong Province (CN), State Key Laboratory of Food Science and Technology (CN), Guangdong Ocean University (CN)
Openalex Percentile: Top 91%
Fermentation and Sensory Analysis
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.