Evidence map›Paper›PMID 38468636›Full record

ArticleFood chemistry: X2024

Identification of pasteurized mare milk and powder adulteration with bovine milk using quantitative proteomics and metabolomics approaches.

Zhongyuan Ji, Junyu Zhang, Chunxia Deng, Tongjun Guo, Rongwei Han, Yongxin Yang, Changjiang Zang, Yong Chen

Abstract read
In one paragraph

Article in Food chemistry: X, 2024. 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

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3 · Its place in the literature

Who cites it

4 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

8 authors.

Zhongyuan JiCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China.
Junyu ZhangInstitute of Feed Research, Xinjiang Academy of Animal Science, Urumqi 830052, Xinjiang, China.
Chunxia DengCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
Tongjun GuoInstitute of Feed Research, Xinjiang Academy of Animal Science, Urumqi 830052, Xinjiang, China.
Rongwei HanCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
Yongxin YangCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
Changjiang ZangCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China.
Yong ChenCollege of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adulteration in dairy products presents food safety challenges, driven by economic factors. Processing may change specific biomarkers, thus affecting their effectiveness in detection. In this study, proteomics and metabolomics approaches were to investigate the detection of bovine milk (BM) constituents adulteration in pasteurized mare milk (PMM) and mare milk powder (MMP). Several bovine proteins and metabolites were identified, with their abundances in PMM and MMP increasing upon addition of BM. Proteins like osteopontin (OPN) and serotransferrin (TF) detected adulteration down to 1 % in PMM, whereas these proteins in MMP were utilized to identify 10 % adulteration. Biotin and N6-Me-adenosine were effective in detecting adulteration in PMM as low as 10 % and 1 % respectively, while in MMP, their detection limits extend down to 0.1 %. These findings offer insights for authenticating mare milk products and underscore the influence of processing methods on biomarker levels, stressing the need to consider these effects in milk product authentication.

Indexed as

AdulterationBiomarkersDairy productsMare milkOmics

Identifiers

PMID38468636
PMCPMC10926301

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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.