Evidence map›Paper›PMID 41158963›Full record

ArticleCurrent research in microbial sciences2025

The effect of autochthonous caproic acid-producing consortia inoculation on the multi-dimensional prokaryotic succession of bottom pitmud used for the Chinese strong-flavor Baijiu fermentation.

Huimin Zhang, Li Zhen, Qiang Chang, Yan Liu, Kangjie Xu, Xiuben Wang, Lei Cui, Zaijie Wu, Zhenglian Xue

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Article in Current research in microbial sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Huimin ZhangEngineering Laboratory for Industrial Microbiology Molecular Beeding of Anhui Province, College of Biologic &Food Engineering, Anhui Polytechnic University, 8 Middle Beijing Road, Wuhu 241000, China.
Li ZhenEngineering Laboratory for Industrial Microbiology Molecular Beeding of Anhui Province, College of Biologic &Food Engineering, Anhui Polytechnic University, 8 Middle Beijing Road, Wuhu 241000, China.
Qiang ChangAnhui Wenwang Distillery Co., Ltd, Linquan city 236400, Anhui Province, China.
Yan LiuEngineering Laboratory for Industrial Microbiology Molecular Beeding of Anhui Province, College of Biologic &Food Engineering, Anhui Polytechnic University, 8 Middle Beijing Road, Wuhu 241000, China.
Kangjie XuEngineering Laboratory for Industrial Microbiology Molecular Beeding of Anhui Province, College of Biologic &Food Engineering, Anhui Polytechnic University, 8 Middle Beijing Road, Wuhu 241000, China.
Xiuben WangEngineering Laboratory for Industrial Microbiology Molecular Beeding of Anhui Province, College of Biologic &Food Engineering, Anhui Polytechnic University, 8 Middle Beijing Road, Wuhu 241000, China.
Lei CuiAnhui Wenwang Distillery Co., Ltd, Linquan city 236400, Anhui Province, China.
Zaijie WuAnhui Wenwang Distillery Co., Ltd, Linquan city 236400, Anhui Province, China.
Zhenglian XueEngineering Laboratory for Industrial Microbiology Molecular Beeding of Anhui Province, College of Biologic &Food Engineering, Anhui Polytechnic University, 8 Middle Beijing Road, Wuhu 241000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Caproic acid-producing bacteria (CPBs) are considered of great importance to the aging of pitmud within the Chinese strong-flavor Baijiu ecosystem. However, the role of CPBs during pitmud aging remains unclear. To address this question, autochthonous CPBs were subjected to successive liquid-state enrichment and solid-state pre-cultivation with fresh bottom pitmud, followed by five consecutive batches of fermentation to artificially accelerate pitmud aging. This study revealed how CPBs and related prokaryotic communities evolved during these stages. The enriched CPBs did not grow as rapidly in the solid-state new pitmud as in the liquid state. The multi-dimensional succession pattern of bottom pitmud prokaryotic communities, α-diversities, β-diversities, physicochemical properties, and the predicted caproic acid synthesis functions co-verified the "Lag-aging dual-phase" hypothesis proposed in this study. This hypothesis divides pitmud aging into two distinct phases: a "Lag phase" (adaptive phase) and an "aging phase". After five fermentation batches, the prokaryotic community structure of the new bottom pitmud closely resembled that of aged old bottom pitmud, and the CPBs gradually concentrated in the surface layer (0-1 cm). This study therefore confirmed that the inoculation with autochthonous CPBs-rich consortia facilitated pitmud aging, paving the way for artificial pitmud aging and targeted bioremediation.

Indexed as

CPBs-rich consortia“Lag-aging dual-phase” hypothesisPhysicochemical propertyPitmud agingProkaryotic community

Identifiers

PMID41158963
PMCPMC12557497

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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.