Evidence map›Paper›PMID 32962264›Full record

ArticleFoods (Basel, Switzerland)2020

UHPLC-MS/MS-Based Nontargeted Metabolomics Analysis Reveals Biomarkers Related to the Freshness of Chilled Chicken.

Tao Zhang, Shanshan Zhang, Lan Chen, Hao Ding, Pengfei Wu, Genxi Zhang, Kaizhou Xie, Guojun Dai, Jinyu Wang

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

19 citing papers in PubMed, 44 citations in OpenAlex.

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  19. Metabolic Responses of a Model Green MicroalgaFrontiers in bioengineering and biotechnology · 2021
    Article
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

9 authors at 1 institution in 1 country.

Tao ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0003-1170-1622
Shanshan ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Lan ChenCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Hao DingCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Pengfei WuCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Genxi ZhangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0002-4917-1105
Kaizhou XieCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Guojun DaiCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Jinyu WangCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Yangzhou University · CN

Funding

Agriculture Research System of China CARS-41Natural Science Foundation of Jiangsu Province BK20180909Natural Science Foundation of Yangzhou City YZ2018096Priority Academic Program Development of Jiangsu Higher Education Institutions PAPDProject of Natural Science Research in College and University of Jiangsu Province 18KJB230006Yangzhou University Science and Technique Innovation Foundation 2019CXJ168
6 · The paper itself

Abstract

To identify metabolic biomarkers related to the freshness of chilled chicken, ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS/MS) was used to obtain profiles of the metabolites present in chilled chicken stored for different lengths of time. Random forest regression analysis and stepwise multiple linear regression were used to identify key metabolic biomarkers related to the freshness of chilled chicken. A total of 265 differential metabolites were identified during storage of chilled chicken. Of these various metabolites, 37 were selected as potential biomarkers by random forest regression analysis. Receiver operating characteristic (ROC) curve analysis indicated that the biomarkers identified using random forest regression analysis showed a strong correlation with the freshness of chilled chicken. Subsequently, stepwise multiple linear regression analysis based on the biomarkers identified by using random forest regression analysis identified indole-3-carboxaldehyde, uridine monophosphate, s-phenylmercapturic acid, gluconic acid, tyramine, and Serylphenylalanine as key metabolic biomarkers. In conclusion, our study characterized the metabolic profiles of chilled chicken stored for different lengths of time and identified six key metabolic biomarkers related to the freshness of chilled chicken. These findings can contribute to a better understanding of the changes in the metabolic profiles of chilled chicken during storage and provide a basis for the further development of novel detection methods for the freshness of chilled chicken.

Indexed as

chilled chickenfreshnessmetabolic biomarkernontargeted metabolomicsultra-high-performance liquid chromatography–mass spectrometry

Identifiers

PMID32962264
PMCPMC7555583
OpenAlexW3087668642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.