1. Comparing rapid methods for detecting Listeria in seafood and environmental samples using the most probably number (MPN) technique
- Author
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Cruz, Cristina D., Win, Jessicah K., Chantarachoti, Jiraporn, Mutukumira, Anthony N., and Fletcher, Graham C.
- Subjects
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SEAFOOD microbiology , *LISTERIA , *DETECTION of microorganisms , *POISSON processes , *COMPARATIVE studies , *PERFORMANCE evaluation , *SENSITIVITY analysis - Abstract
Abstract: The standard Bacteriological Analytical Manual (BAM) protocol for detecting Listeria in food and on environmental surfaces takes about 96h. Some studies indicate that rapid methods, which produce results within 48h, may be as sensitive and accurate as the culture protocol. As they only give presence/absence results, it can be difficult to compare the accuracy of results generated. We used the Most Probable Number (MPN) technique to evaluate the performance and detection limits of six rapid kits for detecting Listeria in seafood and on an environmental surface compared with the standard protocol. Three seafood products and an environmental surface were inoculated with similar known cell concentrations of Listeria and analyzed according to the manufacturers'' instructions. The MPN was estimated using the MPN-BAM spreadsheet. For the seafood products no differences were observed among the rapid kits and efficiency was similar to the BAM method. On the environmental surface the BAM protocol had a higher recovery rate (sensitivity) than any of the rapid kits tested. Clearview™, Reveal®, TECRA® and VIDAS® LDUO detected the cells but only at high concentrations (>102 CFU/10cm2). Two kits (VIP™ and Petrifilm™) failed to detect 104 CFU/10cm2. The MPN method was a useful tool for comparing the results generated by these presence/absence test kits. There remains a need to develop a rapid and sensitive method for detecting Listeria in environmental samples that performs as well as the BAM protocol, since none of the rapid tests used in this study achieved a satisfactory result. [Copyright &y& Elsevier]
- Published
- 2012
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