Research Progress on Proteomics-Based Detection Techniques for Meat Adulteration

Clicks: 1
ID: 330780
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #368 of 368 articles by views in journal of aoac international

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 368 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Background Meat adulteration is a covert food fraud practice poses considerable safety and ethical risks. This practice challengs traditional detection methods due to biomarker degradation in processed products. Objective The objective of this review is to summarize recent advancements in proteomics-based techniques and provide a comprehensive methodological and theoretical reference for optimizing meat authenticity verification systems. Methods The present review compares proteomics with traditional methods and outlines standardized workflows, covering sample preparation, mass spectrometry data acquisition modes, and bioinformatic analysis. Results Key findings highlight the identification of heat-stable species-specific signature peptides, in addition to the application of these markers across a variety of scenarios, including species identification, tissue-of-origin analysis, and geographical traceability. Conclusions Proteomics provides high-resolution, multi-target analytical capabilities for complex matrices. Future directions for this field include the translation of technological into biosensors and the global standardization of peptide libraries. Potential leadership for these efforts could come from international organizations, with the aim of advancing industrial and regulatory applications.
Reference Key
openalex_W7215049827 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tianshu Li, Huadong Sheng, Yuanxu Shi, Xiangjie Pan, Lulu Wang, Yunxuan Li, Yanxia Zhu, Hongbo Chen, 张水锋
Journal journal of aoac international
Year 2026
DOI
10.1093/jaoacint/qsag057
URL
https://doi.org/10.1093/jaoacint/qsag057
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.