风味
发酵
食品科学
生物
微生物
基因组
食品加工中的发酵
生物技术
细菌
感官分析
微生物种群生物学
脂肪酸
生产(经济)
代谢组学
作者
Xin Shi,Chenming Fan,Ming Hui,Qing Tian,Fangli Zhang,Chunmei Pan
标识
DOI:10.1016/j.crmicr.2026.100558
摘要
• MT is dominated by Saccharomyces and Lactobacillus. • MT has high ester, JS features elevated aldehydes, reflecting regional sensory. • Saccharomyces and Pichia correlate with esters. This research focused on Maotai-flavour Baijiu from three representative production regions in the Chishui River Basin, namely Maotai Town (MT), Jinsha (JS), and Renhuai (RH). By integrating metabolomics and macrogenomics techniques, the study analyzed the differences in volatile flavor compounds and microbial community structures in the fourth-round fermented grains and base liquor. Additionally, it explored the associative mechanism between microorganisms and flavor metabolism. The findings indicate that the microbial community compositions of fermented grains vary significantly across different production areas. The production area of Maotai Town mainly consists of Saccharomyces and Lactobacillus , with the highest content of ester substances. The fungal community in Jinsha is extremely stochastic, abundant in Mucoromycota, and has elevated contents of aldehydes and phenols. The distribution of microorganisms and flavor substances in the Renhuai production area lies between the two. The sensory evaluation of the base liquor indicates that the Jinsha production area features prominent floral and fruity aromas, the Maotai Town exhibits significant sour and sauce aromas, and the Renhuai production area has a well-balanced flavor. The correlation analysis shows that yeasts such as Saccharomyces and Pichia are positively correlated with esters such as ethyl acetate, while bacteria such as Limosilactobacillus are closely associated with short-chain fatty acid metabolism. This research reveals the microbiological basis for the differences in the Maotai style among different production regions and provides a theoretical foundation for regional characteristic production and process optimization.
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