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Detection of foodborne pathogens using proteomics and metabolomics-based approaches

Jadhav, Snehal, Shah, Rohan M., Karpe, Avinash V., Morrison, Paul D., Kouremenos, Konstantinos, Beale, David J. and Palombo, Enzo A. 2018, Detection of foodborne pathogens using proteomics and metabolomics-based approaches, Frontiers in microbiology, vol. 9, doi: 10.3389/fmicb.2018.03132.

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Title Detection of foodborne pathogens using proteomics and metabolomics-based approaches
Author(s) Jadhav, SnehalORCID iD for Jadhav, Snehal orcid.org/0000-0002-8331-275X
Shah, Rohan M.
Karpe, Avinash V.
Morrison, Paul D.
Kouremenos, Konstantinos
Beale, David J.
Palombo, Enzo A.
Journal name Frontiers in microbiology
Volume number 9
Article ID 3132
Total pages 13
Publisher Frontiers
Place of publication Lausanne, Switzerland
Publication date 2018-12-18
ISSN 1664-302X
Summary © 2018 Jadhav, Shah, Karpe, Morrison, Kouremenos, Beale and Palombo. 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 relies on conventional microbiological methods which involve the use of multiple selective culture media and long incubation periods, often taking up to 7 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 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 analyzed using chemometric methods. Putative biomarkers relating to L. monocytogenes, S. enterica and E. coli O157:H7 were observed within 24, 18, 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, hydroxymelatonin and 3,4-dihydroxymadelic acid were also observed. The results obtained in this study will assist in the future development of rapid diagnostic tests for these important foodborne pathogens.
Language eng
DOI 10.3389/fmicb.2018.03132
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, Jadhav, Shah, Karpe, Morrison, Kouremenos, Beale and Palombo
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30122354

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.