Evidence map›Paper›PMID 37685199›Full record

ArticleFoods (Basel, Switzerland)2023

Characterization and Correlation of Dominant Microbiota and Flavor Development in Different Post-Mortem Processes of Beef.

Hengpeng Wang, Jipan Wang, Yinlan Wang, Sumin Gao, Shuangyi Xu, Xiaobo Zou, Xiangren Meng

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Hengpeng WangKey Laboratory of Chinese Cuisine Intangible Cultural Heritage Technology Inheritance, Ministry of Culture and Tourism, College of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, China.
Jipan WangKey Laboratory of Chinese Cuisine Intangible Cultural Heritage Technology Inheritance, Ministry of Culture and Tourism, College of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, China.
Yinlan WangSchool of Food Science, Jiangsu College of Tourism, Yangzhou 225000, China.
Sumin GaoKey Laboratory of Chinese Cuisine Intangible Cultural Heritage Technology Inheritance, Ministry of Culture and Tourism, College of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, China.
Shuangyi XuKey Laboratory of Chinese Cuisine Intangible Cultural Heritage Technology Inheritance, Ministry of Culture and Tourism, College of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, China.
Xiaobo ZouInternational Joint Research Laboratory of Intelligent Agriculture and Agriproducts Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Xiangren MengKey Laboratory of Chinese Cuisine Intangible Cultural Heritage Technology Inheritance, Ministry of Culture and Tourism, College of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0003-1255-1216

Funding

Natural Science Foundation of Jiangsu Province BE2022313Priority Academic Program Development of Jiangsu Higher Education Institutions PAPDthe 2022 Supported Project of Cuisine Science Key Laboratory of Sichuan Province PRKX2022Z15the Qinglan Project of Yangzhou University 137050358
6 · The paper itself

Abstract

Post-mortem aging could enhance the unique flavors of beef via several biochemical pathways. The microbiota is one of the important factors in the flavor development of aging beef, but their potential relationship has rarely been studied. This study characterized the apparent meat quality, flavor profiles, and microbial communities of beef during the different post-mortem processes, followed by the investigation of the correlations between the dominant microbiota and key volatile compounds. The results showed that wet-aged beef has a higher product yield and more stable color than dry-aged beef, as evidenced by the significantly lower value of aging loss and discoloration (ΔE). According to the odor activity value, 11 out of 65 compounds were categorized as aroma-active components, and 9 of them, including 1-pentanol, 1-octen-3-ol, hexanal, nonanal, heptanal, octanal, 2-nonenal, (E)-, 2-octenal, (E)- and 2-decenal, (E)-, were enriched in beef wet-aged for 7 d. Significant variances were found in the microbial communities of different aging beef. Of these, 20 microbiota (with 10 bacterial and 10 fungal genera) were recognized as the dominant genus. Partial least squares regression combined with a correlation network model revealed that five microbial genera, including

Indexed as

beef rumpcorrelation analysisdominant microbiotakey volatile compoundspostmortem aging

Identifiers

PMID37685199
PMCPMC10486546

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