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Characterization of Salmonella and possible interfering strains using GC profiling and factor analysis
Institution:1. TNO-CIVO Institutes, Toxicological Analysis Department, Zeist, The Netherlands;2. National Institute of Public Health and Environmental Protection, Bilthoven, The Netherlands;1. Bioprocesses and Bioproducts Research Group, Food Research Department, School of Chemistry Autonomous University of Coahuila, Saltillo, Coahuila, Mexico;2. Nanobioscience Group, School of Chemistry Autonomous University of Coahuila, Saltillo, Coahuila, Mexico;3. CONACYT – Autonomous University of Coahuila, Saltillo, Coahuila, Mexico;1. Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada;2. Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Halifax, NS, Canada;3. Department of Biology, University of Waterloo, Waterloo, ON, Canada;4. Department of Pharmacology, Dalhousie University, Halifax, NS, Canada;5. CGEB-Integrated Microbiome Resource (IMR), Dalhousie University, Halifax, NS, Canada;1. Department of Engineering, Faculty of Natural Mathematical & Engineering Sciences, King’s College London, Strand Campus, WC2R 2LS, UK;2. Quorn Foods, Station Road, Stokesley, North Yorkshire, TS9 7AB, UK;3. Calysta, T3 Block, The Wilton Centre, Wilton, Redcar, TS10 4RF, UK
Abstract:Fatty acid methyl ester data of Salmonella and potentially interfering strains obtained by derivatization gas chromatography were investigated with principal components and factor-discriminant analysis. Salmonella strains could be distinguished using both data-handling techniques. The biochemical basis for this characterization was found to be in strong agreement with the higher mass range part of pyrolysis — direct chemical ionization mass spectrometric data representing diglyceride information. The quality of the analytical procedure as judged by longer term reproducibility and component assignment was found to be good. In combination with sophisticated data-handling methods this derivatization gas chromatographic approach can be a useful diagnostic tool for Salmonella characterization.
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