Pit mud quality is a key parameter that impacts the quality of Chinese strong-flavor Baijiu production.This study was developed to explore spatial bacterial community distributions and the relationships between these distributions and the volatile compound accumulation within the pit mud used in the production of Chinese strong-flavor Baijiu. The results revealed Lactobacillus pasteurii and Limnochorda pilosa were found to be the dominant bacteria present in the upper wall, middle wall, and bottom pit mud layers, whereas the Clostridium genus was detectable at high levels in the lower layer of the pit wall and played a role in contributing to the overall aroma and flavor compounds in produced Chinese strong-flavor Baijiu, with Clostridium abundance being strongly correlated with caproic acid, ethyl caproate, ethyl butyrate, and hexanol levels as well as moderately correlated with butyric acid levels. The abundance of the Lactobacillus genus was positively correlated with levels of ethyl lactate, 1-butanol, and 2,3-butanediol. Limnochorda pilosa was closely associated with ethyl acetate levels. Additionally, the correlations between bacterial communities and chemical properties also investigated, and the results demonstrated PO4 3− , total carbon, K + , humus, NH 4 + -N, and Mg 2+ levels significantly affected the bacterial community structure of pit mud, and they were positively correlated with the relative abundance of Clostridium . Together, these findings can serve as a foundation for future studies exploring the mechanisms whereby volatile compounds accumulate in different pit mud layers, which facilitates the fermentation regulation and pit mud quality improvement of Chinese strong-flavor Baijiu.
Bacterial diversity associated with volatile compound accumulation in pit mud of Chinese strong-flavor baijiu pit
Shoubao Yan,Yonglei Jia,Zhang Qi,Shunchang Pu,Shi Cuie
Published 2023 in AMB Express
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- Publication year
2023
- Venue
AMB Express
- Publication date
2023-01-07
- Fields of study
Medicine, Environmental Science
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Semantic Scholar, PubMed
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