Simulation model for enumeration of Salmonella on chicken as a function of PCR detection time score and sample size: implications for risk assessment

Journal of Food Protection
T P Oscar

Abstract

A data gap commonly identified in risk assessments is the lack of quantitative information on the contamination of food with pathogens. A simulation model that predicts the incidence and distribution of Salmonella contamination on chicken as a function of PCR detection time score and sample size was developed with data from challenge studies with preenrichment samples that were composed of 25 g of chicken and 225 ml of buffered peptone water inoculated with 10(0.7) to 10(6) Salmonella and incubated at 37 degrees C. At 0, 2, 4, 6, 8, 10, 12, and 24 h of incubation, subsamples were collected and tested for Salmonella by PCR, and a PCR detection time score based on the widths of the bands in the electrophoresis gel was obtained for each preenrichment sample. Standard curves relating PCR detection time score to initial density of Salmonella inoculated were developed for sterile and nonsterile preenrichment samples. Presence of other microorganisms in the preenrichment sample decreased the PCR detection time score at low (<10(2) per 25 g) but not at high (>10(2) per 25 g) initial densities of Salmonella and resulted in a nonlinear standard curve rather than the linear standard curve obtained for sterile samples. The predicted incide...Continue Reading

References

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Citations

Jul 23, 2019·Journal of Applied Microbiology·T P Oscar
Jul 22, 2020·Risk Analysis : an Official Publication of the Society for Risk Analysis·Thomas Oscar
Sep 11, 2010·Journal of Food Protection·T P OscarS Parveen
Sep 3, 2009·Journal of Food Protection·Byron Brehm-StecherMary Lou Tortorello

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