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Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication
Published on: September 20, 2016
Authentication of beef production systems using a metabolomic-based approach
M T Osorio1, A P Moloney, L Brennan
1School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
Animal : an International Journal of Animal Bioscience
|March 23, 2012
Summary
Nuclear magnetic resonance (NMR) metabolomics can authenticate beef production systems. This non-invasive method analyzes urine and muscle, identifying key markers to trace beef origins and ensure product authenticity.
Area of Science:
- Analytical Chemistry
- Metabolomics
- Food Science
Background:
- Current beef authentication methods require improvement for speed and reliability.
- Non-invasive, quantifiable markers are needed to strengthen traceability in the beef industry.
Purpose of the Study:
- To investigate nuclear magnetic resonance (NMR)-based metabolomics for authenticating cattle production systems.
- To identify potential biomarkers in urine and muscle for beef authentication.
Main Methods:
- Collected urine and muscle samples from cattle raised under four distinct pre-slaughter production systems over one year.
- Performed NMR-based metabolomic analysis on 68 urine and 98 muscle samples.
- Utilized statistical analysis to differentiate samples based on production system.
Main Results:
- Metabolomic analysis successfully differentiated beef based on pre-slaughter production systems.
- Identified key urinary metabolites, including creatinine, glucose, hippurate, and phenylalanine, as potential markers.
- Demonstrated the potential of NMR metabolomics for robust beef authentication.
Conclusions:
- NMR-based metabolomics offers a promising, non-invasive approach for authenticating beef production systems.
- Specific urinary metabolites can serve as reliable markers for tracing beef origins.
- This methodology can enhance traceability and consumer confidence in the beef supply chain.
