Detection of Foodborne Pathogens Using Proteomics and Metabolomics-Based Approaches

作者：Snehal R. Jadhav, Rohan Shah, Avinash V. Karpe, Paul D. Morrison, Konstantinos A. Kouremenos, David J. Beale, Enzo A. Palombo · 发表于：Frontiers in Microbiology · 年份：2018 · DOI：10.3389/fmicb.2018.03132 · 被引用次数：67 · 研究领域：Bacterial Identification and Susceptibility Testing、Metabolomics and Mass Spectrometry Studies、Identification and Quantification in Food

Considering the short shelf-life of certain food products such as red meat, there is a need for rapid and cost-effective methods for pathogen detection. Routine pathogen testing in food laboratories mostly rely on conventional microbiological methods which involve the use of multiple selective culture media and long incubation periods, often taking 2-5 days for confirmed identifications. The current study investigated the application of omics-based approaches, proteomics using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-ToF MS) and metabolomics using gas chromatography-mass spectrometry (GC-MS), for detection of three red meat pathogens – Listeria monocytogenes, Salmonella enterica and Escherichia coli O157:H7. Species-level identification was achieved within 18 h for S. enterica and E. coli O157:H7 and 30 h for L. monocytogenes using MALDI-ToF MS analysis. For the whole-cell metabolomics approach, metabolites were extracted directly from selective enrichment broth samples containing spiked meat samples (obviating the need for culturing on solid media) and data obtained using GC-MS were analysed using chemometric methods. Putative biomarkers relating to L. monocytogenes, S. enterica and E. coli O157:H7 were observed within 24 h, 18 h and 12 h, respectively, of inoculating meat samples. Many of the identified metabolites were sugars, fatty acids, amino acids, nucleosides and organic acids. Secondary metabolites such as cadaverine, hydrox...