MEATiCode: A comprehensive proteomic LC-MS/MS method for simultaneous species identification in meat authentication

Food fraud in the meat industry threatens consumer trust, market stability, and public health. Traditional methods like DNA barcoding are limited, especially for processed foods where DNA is often degraded. This paper introduces the workflow MEATiCode, a comprehensive proteomic liquid chromatography tandem mass spectrometry (LC-MS/MS) method for the simultaneous identification of species in meat authentication. Application of a novel database search approach - MEATiCode - enabled the differentiation of meat species (as demonstrated for beef, pork, chicken and lamb) in raw and cooked food products following a simple sample preparation procedure and LC-MS/MS analysis of extracted meat peptides. The efficacy of the MEATiCode method was demonstrated through its application to a range of meat products, achieving high sensitivity (0.5 % Limit of Detection (LoD)) and reliability in the detection of adulteration, even in highly processed or cooked meats.

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Publication Details

Journal
Food Chemistry
Published
2025-04-08
DOI
https://doi.org/10.1016/j.foodchem.2025.144231
Citations
4
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
3.22

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article

MEATiCode: A comprehensive proteomic LC-MS/MS method for simultaneous species identification in meat authentication

David Stead, Renata Garbellini Duft, Julian Leether Griffin
4 citations
Food Chemistry
Identification and Quantification in Food
3.22
article

MEATiCode: A comprehensive proteomic LC-MS/MS method for simultaneous species identification in meat authentication

David Stead, Renata Garbellini Duft, Julian Leether Griffin
article en
4 citations

Abstract

Food fraud in the meat industry threatens consumer trust, market stability, and public health. Traditional methods like DNA barcoding are limited, especially for processed foods where DNA is often degraded. This paper introduces the workflow MEATiCode, a comprehensive proteomic liquid chromatography tandem mass spectrometry (LC-MS/MS) method for the simultaneous identification of species in meat authentication. Application of a novel database search approach - MEATiCode - enabled the differentiation of meat species (as demonstrated for beef, pork, chicken and lamb) in raw and cooked food products following a simple sample preparation procedure and LC-MS/MS analysis of extracted meat peptides. The efficacy of the MEATiCode method was demonstrated through its application to a range of meat products, achieving high sensitivity (0.5 % Limit of Detection (LoD)) and reliability in the detection of adulteration, even in highly processed or cooked meats.

Food ChemistryVol. 483
University of Aberdeen (GB)
Rural and Environment Science and Analytical Services Division
Zero hunger
Openalex Percentile: Top 9%
Identification and Quantification in Food
3.22
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