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Quantitative Microbial Risk Analysis Model for Exposure Assessment of Salmonella during Poultry Processing

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  2007 ASAE Annual Meeting  076056.(doi:10.13031/2013.23310)
Authors:   Abani K Pradhan, Yanbin Li, Min Li
Keywords:   Quantitative risk assessment, Exposure assessment, Monte Carlo simulation, Salmonella, Poultry processing

A simulation model was developed for exposure assessment of Salmonella during poultry primary processing to assess the effects of different processing steps on the microbial behavior. The model was able to predict the prevalence and number of Salmonella in broilers or their carcasses from arrival to chilling process in a processing plant. Published literature was reviewed, relevant data were complied, and experimental data from challenge tests were fitted to define probability distributions to characterize the incidence and variation of pathogen events affecting the microbial behavior of Salmonella in broilers. Uncertainty analysis was performed using Monte Carlo simulation, separating knowledge uncertainty and stochastic variability.

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