Extracting additional risk managers information from a risk assessment of Listeria monocytogenes in deli meats.

TítuloExtracting additional risk managers information from a risk assessment of Listeria monocytogenes in deli meats.
Publication TypeJournal Article
Year of Publication2007
AuthorsPérez-Rodríguez, F, van Asselt, ED, Garcia-Gimeno, RM, Zurera, G, Zwietering, MH
JournalJ Food Prot
Date Published2007 May
Palabras claveColony Count, Microbial, Consumer Product Safety, Food Contamination, Food Handling, Food Microbiology, Humans, Listeria monocytogenes, Listeriosis, Meat Products, Public Health, Risk Assessment, Risk Management, Temperature, Time Factors

The risk assessment study of Listeria monocytogenes in ready-to-eat foods conducted by the U.S. Food and Drug Administration is an example of an extensive quantitative microbiological risk assessment that could be used by risk analysts and other scientists to obtain information and by managers and stakeholders to make decisions on food safety management. The present study was conducted to investigate how detailed sensitivity analysis can be used by assessors to extract more information on risk factors and how results can be communicated to managers and stakeholders in an understandable way. The extended sensitivity analysis revealed that the extremes at the right side of the dose distribution (at consumption, 9 to 11.5 log CFU per serving) were responsible for most of the cases of listeriosis simulated. For concentration at retail, values below the detection limit of 0.04 CFU/g and the often used limit for L. monocytogenes of 100 CFU/g (also at retail) were associated with a high number of annual cases of listeriosis (about 29 and 82%, respectively). This association can be explained by growth of L. monocytogenes at both average and extreme values of temperature and time, indicating that a wide distribution can lead to high risk levels. Another finding is the importance of the maximal population density (i.e., the maximum concentration of L. monocytogenes assumed at a certain temperature) for accurately estimating the risk of infection by opportunistic pathogens such as L. monocytogenes. According to the obtained results, mainly concentrations corresponding to the highest maximal population densities caused risk in the simulation. However, sensitivity analysis applied to the uncertainty parameters revealed that prevalence at retail was the most important source of uncertainty in the model.

Alternate JournalJ. Food Prot.