Detection of Listeria in milk using non-targeted metabolic profiling of Listeria monocytogenes: A proof-of-concept application

Listeria is represented by ten known species, comprising pathogenic and non-pathogenic variants. Listeria monocytogenes is the type species and is primarily pathogenic to humans and causes serious illness. As a result, most countries have a zero tolerance towards the presence of Listeria in foods. Therefore, in order to  ensure food safety, robust techniques for detection are required. This paper describes a proof-of-concept application of a metabolomic technique for the rapid detection of Listeria, applied to nutrient media and a complex food sample (milk) inoculated with a pathogenic Listeria strain (L. monocytogenes). It was found that a profile of intracellular and extracellular metabolites associated with L. monocytogenes could be obtained using gas chromatography coupled to orthogonal acceleration time-of-flight mass spectrometry (GC-oaToFMS). Chemometric analysis showed that it is possible to differentiate between the uninoculated samples and samples inoculated with Listeria based on L. monocytogenes metabolic activity. This research demonstrates that metabolomics has the potential for rapidly identifying food contaminated with Listeria and could provide a means for enhancing monitoring programmes and ensuring food safety.