Evidence map›Paper›PMID 39673567›Full record

ArticleCurrent microbiology2024

The Impact of Fermentation Methods on the Quality and Bacterial Diversity of Dazhu Glutinous Rice Wine.

Haiyan Xu, Jiamin Xu, ZhuZhu Yurong, Wenjia Ba, Qi Li, Jie Xie, Jiang Chen, Wenxue Zhang

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Article in Current microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

8 authors.

Haiyan XuCollege of Life Sciences, Sichuan Normal University, Chengdu, 610101, Sichuan, China. weiliangxhy@163.com.ORCID http://orcid.org/0000-0002-1966-4398
Jiamin XuCollege of Life Sciences, Sichuan Normal University, Chengdu, 610101, Sichuan, China.
ZhuZhu YurongCollege of Life Sciences, Sichuan Normal University, Chengdu, 610101, Sichuan, China.
Wenjia BaCollege of Life Sciences, Sichuan Normal University, Chengdu, 610101, Sichuan, China.
Qi LiCollege of Life Sciences, Sichuan Normal University, Chengdu, 610101, Sichuan, China.
Jie XieCollege of Life Sciences, Sichuan Normal University, Chengdu, 610101, Sichuan, China.
Jiang ChenCollege of Life Sciences, Sichuan University, Chengdu, Sichuan, China.
Wenxue ZhangCollege of Biomass Science and Engineering, Sichuan University, 24 South Section, First Ring Road, Chengdu, 610065, Sichuan, China. foodecoengineering@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dazhu glutinous rice wine is a well-known traditional Chinese rice wine, and many local factories and handicraft workshops use different fermentation methods to produce it. Still, the influence of fermentation processes on glutinous rice wine is unclear. This study aimed to compare the difference between the two fermentation methods in the quality and bacterial composition of Dazhu glutinous rice wine. Results showed that the alcoholic content (P < 0.0001) and acidity (P < 0.01) in the rice wine fermented after packaging (PFRW) were higher than in the rice wine packaged after fermentation (FPRW), but the total sugar content was lower. Most amino, such as glutamic acid proline, and lactic acid were significantly higher in FPRW (P < 0.0001). In addition, the aroma, flavor and taste were better in FPRW than in PFRW. The Limosilactobacillus fermentum, Pediococcus pentosaceus, and Lactococcus lactis were dominant bacteria in FPRW, positively associated with amino acid and lactic acid. At the same time, Alcaligenaceae and Pedobacter nutriment were dominant bacteria in PFRW and negatively correlated with the quality. These implied that lactic acid bacteria significantly contributed to accumulating flavor ingredients and improving the quality of Dazhu glutinous rice wine. This study provides reference data for improving the quality of rice wine.

Indexed as

BacteriaFermentationOryzaWineAmino AcidsFood MicrobiologyTasteAmino Acids

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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.