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Identifying Putative Biomarkers of Foodborne Pathogens Using a Metabolomic Approach

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Specialty Molecular Biology
Date 2024 Sep 5
PMID 39235749
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Abstract

Metabolomics is the study of low molecular weight biochemical molecules (typically <1500 Da) in a defined biological organism or system. In case of food systems, the term "food metabolomics" is often used. Food metabolomics has been widely explored and applied in various fields including food analysis, food intake, food traceability, and food safety. Food safety applications focusing on the identification of pathogen-specific biomarkers have been promising. This chapter describes a nontargeted metabolite profiling workflow using gas chromatography coupled with mass spectrometry (GC-MS) for characterizing three globally important foodborne pathogens, Escherichia coli O157:H7, Listeria monocytogenes, and Salmonella enterica, from selective enrichment liquid culture media. The workflow involves a detailed description of food spiking experiments followed by procedures for the extraction of polar metabolites from media, the analysis of the extracts using GC-MS, and finally chemometric data analysis using univariate and multivariate statistical tools to identify potential pathogen-specific biomarkers.

Citing Articles

Identification of Potential Biomarkers and Spectral Fingerprinting for Detection of Foodborne Pathogens in Raw Chicken Meat Matrix Using GCMS and FTIR.

Muthusamy G, Karthikeyan S, Arun Giridhari V, Alhimaidi A, Balachandar D, Ammari A Foods. 2024; 13(21).

PMID: 39517200 PMC: 11545171. DOI: 10.3390/foods13213416.

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