Quantitative microbiological risk assessment: principles applied to determining the comparative risk of salmonellosis from chicken products.

Ensuring microbiological safety requires identification of realistic hazards and the means of controlling them. The risk assessment framework proposed by Codex Alimentarius allows the impact of raw materials and processes to be appreciated, and the output can be used for risk management and communication. Mathematical models allow numerical information to be processed by a computer and interpreted to give quantitative or comparative risk assessments. In this example, models have been put together according to the Codex. Alimentarius principles, providing a quantitative risk assessment (QRA) of salmonellosis from frozen poultry products. This model-based QRA takes into account three types of information: occurrence and distribution of the agent, sensitivity of populations to infection (e.g., normal or susceptible), and the effect of cooking (in the factory or home) on concentration of the agent and hence risks of infection after product consumption. It only demonstrates the impact of a single-process step (heating) and the effect of changes in population sensitivity, raw material quality, and cooking regime on the final risk. The effects of growth and recontamination are not considered. To aid risk communication, the models have been visualized by means of displays and slider controls on a computer screen because effective communication is essential to encourage manufacturers and their product designers to assess the effect of changes in processing or materials on risk.

[1]  R. C. Whiting,et al.  Risk Assessment and Predictive Microbiology. , 1996, Journal of food protection.

[2]  R. C. Whiting,et al.  Development of a quantitative risk assessment model for Salmonella enteritidis in pasteurized liquid eggs. , 1997, International journal of food microbiology.

[3]  J L Jouve,et al.  Food products and consumer protection: a conceptual approach and a glossary of terms. , 1996, International journal of food microbiology.

[4]  G. Mead Microbiology of Poultry and Game Birds , 1982 .

[5]  J. C. Jaeger,et al.  Conduction of Heat in Solids , 1952 .

[6]  P. McClure,et al.  Development of thermal inactivation models for Salmonella enteritidis and Escherichia coli O157:H7 with temperature, pH and NaCl as controlling factors. , 1997, International journal of food microbiology.

[7]  D. Kilsby,et al.  The relevance of the distribution of micro-organisms within batches of food to the control of microbiological hazards from foods. , 1981, The Journal of applied bacteriology.

[8]  E. Todd Foodborne Disease in Six Countries - A Comparison. , 1978, Journal of food protection.

[9]  Sheila A. Martin,et al.  Assessing the Risk of Microbial Pathogens: Application of a Judgment-Encoding Methodology. , 1995, Journal of food protection.

[10]  Division on Earth Risk Assessment in the Federal Government: Managing the Process , 1983 .

[11]  Kenneth W. Davies,et al.  Quantitative microbiological risk assessment: principles applied to determining the comparative risk of salmonellosis from chicken products. , 1998, Journal of food protection.