Evidence map›Paper›PMID 33254363›Full record

ArticleAnimal bioscience2021

A quantitative method for detecting meat contamination based on specific polypeptides.

Chaoyan Feng, Daokun Xu, Zhen Liu, Wenyan Hu, Jun Yang, Chunbao Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal bioscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Chaoyan FengKey Laboratory of Meat Processing and Quality Control, MOE; Key Laboratory of Meat Processing, MARA; Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control; College of Food Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China.
Daokun XuNanjing institute for Food and Drug Supervision and Inspection, 210095, China.
Zhen LiuNanjing institute for Food and Drug Supervision and Inspection, 210095, China.
Wenyan HuNanjing institute for Food and Drug Supervision and Inspection, 210095, China.
Jun YangNanjing institute for Food and Drug Supervision and Inspection, 210095, China.
Chunbao LiKey Laboratory of Meat Processing and Quality Control, MOE; Key Laboratory of Meat Processing, MARA; Jiangsu Collaborative Innovation Center of Meat Production and Processing, Quality and Safety Control; College of Food Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China.

Funding

Jiangsu Department of Science and Technology BE2016624Ministry of Agriculture and Rural Affairs CARS 35
6 · The paper itself

Abstract

objectiveThis study was aimed to establish a quantitative detection method for meat contamination based on specific polypeptides.

methodsThermally stable peptides with good responses were screened by high resolution liquid chromatography tandem mass spectrometry. Standard curves of specific polypeptide were established by triple quadrupole mass spectrometry. Finally, the adulteration of commercial samples was detected according to the standard curve.

resultsFifteen thermally stable peptides with good responses were screened. The selected specific peptides can be detected stably in raw meat and deep processed meat with the detection limit up to 1% and have a good linear relationship with the corresponding muscle composition.

conclusionThis method can be effectively used for quantitative analysis of commercial samples.

Indexed as

Meat ContaminationNano-LC-MS/MSSpecific Peptide

Identifiers

PMID33254363
PMCPMC8495334

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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.