Evidence map›Paper›PMID 37761135›Full record

ArticleFoods (Basel, Switzerland)2023

Unravelling Metabolic Heterogeneity of Chinese Baijiu Fermentation in Age-Gradient Vessels.

Zijian Miao, Yu Bai, Xinlei Wang, Chao Han, Bowen Wang, Zexia Li, Jinyuan Sun, Fuping Zheng, Yuhang Zhang, Baoguo Sun

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zijian MiaoKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing Technology and Business University, Beijing 100048, China.
Yu BaiKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing Technology and Business University, Beijing 100048, China.
Xinlei WangHebei Solid State Fermentation Making Industry Technology Research Institute, Hebei Baijiu Making Technology Innovation Center, Hebei Hengshui Laobaigan Liquor Co., Ltd., Hengshui 053000, China.
Chao HanHebei Solid State Fermentation Making Industry Technology Research Institute, Hebei Baijiu Making Technology Innovation Center, Hebei Hengshui Laobaigan Liquor Co., Ltd., Hengshui 053000, China.
Bowen WangKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing Technology and Business University, Beijing 100048, China.
Zexia LiHebei Solid State Fermentation Making Industry Technology Research Institute, Hebei Baijiu Making Technology Innovation Center, Hebei Hengshui Laobaigan Liquor Co., Ltd., Hengshui 053000, China.
Jinyuan SunKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing Technology and Business University, Beijing 100048, China.ORCID 0000-0001-6717-9787
Fuping ZhengKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing Technology and Business University, Beijing 100048, China.
Yuhang ZhangHebei Solid State Fermentation Making Industry Technology Research Institute, Hebei Baijiu Making Technology Innovation Center, Hebei Hengshui Laobaigan Liquor Co., Ltd., Hengshui 053000, China.
Baoguo SunKey Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing Technology and Business University, Beijing 100048, China.

Funding

National Key R&D Program of China 2022YFD2101205National Natural Science Foundation of China 32102119
6 · The paper itself

Abstract

Fermentation vessels affect the characteristics of food fermentation; however, we lack an approach to identify the biomarkers indicating fermentation. In this study, we applied metabolomics and high-throughput sequencing analysis to reveal the dynamic of metabolites and microbial communities in age-gradient fermentation vessels for baijiu production. Furthermore, we identified 64 metabolites during fermentation, and 19 metabolites significantly varied among the three vessels (

Indexed as

alcoholic beveragesbaijiufermentation vesselsmachine learningmetabolite shiftmicrobial succession

Identifiers

PMID37761135
PMCPMC10530105

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.