Quantitative risk assessment of foodborne illness by estimating cooking effect on eggs from retail markets.

In this study, we performed a quantitative microbial risk assessment (QMRA) of through intake of egg consumption after cooking (dry-heat, moist-heat, and raw consumption). Egg samples (n = 201) from retail markets were analyzed for the presence of . In addition, temperature and time were investigated during egg transit, storage, and display. A predictive model was developed to characterize the kinetic behavior of Salmonella in eggs, and data on egg consumption and frequency were collected. Eventually, the data was simulated to estimate egg-related foodborne illnesses. was not found in any of the 201 egg samples. Thus, the estimated initial contamination level was -4.0 Log CFU/g. With values of 0.898 and 0.922, the constructed predictive models were adequate for describing the fate of in eggs throughout distribution and storage. Eggs were consumed raw (1.5%, 39.2 g), dry-heated (57.5%, 43.0 g), and moist-heated (41%, 36.1 g). The probability of foodborne illness from the consumption of cooked eggs was evaluated to be 6.8×10. Additionally, the probability of foodborne illness not applied cooking methods was 1.9×10, indicating that can be reduced by cooking. Therefore, the risk of infection through consumption of eggs after cooking might be low in S. Korea.