Evidence map›Paper›PMID 42540444›Full record

ArticleFood chemistry: X2026

Multi-omics analysis reveals the aging mechanism during Baobaoqu storage for the production of Wuliangye Baijiu.

Qingchun Luo, Xi Li, Jianghua Li, Pengju Zhao, Jian Chen, Xuejun Lei, Yanping Lu, Lin Deng, Kangzhuo Yang, Jian Su and 3 more

Abstract read
In one paragraph

Article in Food chemistry: X, 2026. 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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2 · The registry

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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

13 authors.

Qingchun LuoState Key Laboratory of Food Science and Resources, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
Xi LiWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Jianghua LiState Key Laboratory of Food Science and Resources, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
Pengju ZhaoWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Jian ChenState Key Laboratory of Food Science and Resources, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
Xuejun LeiWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Yanping LuWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Lin DengWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Kangzhuo YangWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Jian SuWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Dong ZhaoWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Jia ZhengWuliangye Yibin Co., Ltd., Yibin, Sichuan 644000, China.
Xinrui ZhaoState Key Laboratory of Food Science and Resources, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of Baobaoqu directly influences the quality of Baijiu. In this study, metatranscriptomics, metaproteomics and metabolomics were utilized, combining machine learning with a multi-layer perception neural network model and the Shapley additive explanations approach, to analyze the metabolic mechanisms in Baobaoqu of varying quality. The results indicated that normal Baobaoqu contained more flavor compounds, while premium Baobaoqu contained more active microorganisms and enzymes. During storage, the number of differential proteins between premium and normal Baobaoqu increased, reaching 504 and 77, respectively. In premium Baobaoqu, cellulase expression gradually decreased, while that of ethanol metabolic enzymes increased; the opposite trend was observed in normal Baobaoqu. These differences were primarily attributed to variations in the proportions of

Indexed as

Active microorganismsBaobaoquEnzymesMachine learningMetabolic mechanismMetaproteomicsMetatranscriptomics

Identifiers

PMID42540444
PMCPMC13425894

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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.