A quantitative microbiological exposure assessment model for Bacillus cereus in REPFEDs

2013 ◽  
Vol 166 (3) ◽  
pp. 433-449 ◽  
Author(s):  
Jeff Daelman ◽  
Jeanne-Marie Membré ◽  
Liesbeth Jacxsens ◽  
An Vermeulen ◽  
Frank Devlieghere ◽  
...  
2014 ◽  
Vol 32 (No. 2) ◽  
pp. 122-131 ◽  
Author(s):  
P. Ačai ◽  
Ľ. Valík ◽  
D. Liptáková

Quantitative risk assessment of Bacillus cereus using data from pasteurised milk produced in Slovakia was performed. Monte Carlo simulations were used for probability calculation of B. cereus density at the time of pasteurised milk consumption for several different scenarios. The results of the general case exposure assessment indicated that almost 14% of cartons can contain &gt; 10<sup>4</sup> CFU/ml of B. cereus at the time of pasteurised milk consumption. Despite the absence of a generally applicable dose-response relationship that limits a full risk assessment, the probability of intoxication per serving and the estimated number of cases in the population were calculated for the general exposure assessment scenario using an exponential dose-response model based on Slovak data. The mean number of annual cases provided by the risk assessment model for pasteurised milk produced in Slovakia was 0.054/100 000 population. In comparison, the overall reporting rate of the outbreaks in the EU in which B. cereus toxins were the causative agent was 0.02/100 000 population in 2010. Our assessment is in accordance with a generally accepted fact that reporting data for alimentary intoxication are underestimated, mostly due to the short duration of the illness. &nbsp;


Author(s):  
Hyeon Woo Park ◽  
Kyung Mi Kim ◽  
Gwi Jung Han ◽  
Won Byong Yoon

"The objective of this study was to develop quantitative microbial exposure assessment models for Bacillus cereus in packaged rice cakes (PRC). Probability distribution for growth of B. cereus in PRC was estimated and effects of thermal processing and acidification on extending the shelf-life of PRC were quantitatively assessed. Heat penetration curves at cold point for retort process and pasteurization were successfully predicted using heat transfer simulation model (RMSE < 0.77 ºC). The retort process showed a better sterilization effect than the pasteurization process, but degraded the quality of rice cakes such as color, shape, and texture. The final contamination level in PRC of slab shape package (> 6.63 log CFU/g at 95% level) was lower than that in randomly packed sample (> 7.77 log CFU/g at 95% level) because the cold point in the slab shape package was closer to the surface. Acidification significantly inhibited the growth of B. cereus and also affected the inactivation of B. cereus. A combination of acidification and low temperature pasteurization extended the shelf-life of PRC, while minimizing quality degradation of products (< 0.43 log CFU/g at 95% level)."


1991 ◽  
Vol 24 (6) ◽  
pp. 315-322 ◽  
Author(s):  
S. P. Schreiner ◽  
M. Gaughan ◽  
H. L. Schultz ◽  
R. Walentowicz

The USEPA Office of Health and Environmental Assessment develops methodologies for conducting exposure and risk assessments. Protocols appropriate for specific analyses have been developed to aid in the selection of an exposure assessment model and to assess the validation and uncertainties associated with models used for toxic chemical exposure assessments in surface water, groundwater, and air. A software package has been developed to provide users with a quick and intuitive tool to access information for selected models and applications based on these protocols. The Integrated Model Evaluation System (IMES) is composed of three modules: 1) Selection, query systems for selecting a model based on technical criteria (currently for surface water, non-point source, and groundwater models); 2) Validation, a database containing validation and other information on over 50 models in various media; and 3) Uncertainty, a database demonstrating uncertainty simulations for several surface water models applied to exposure assessments of several chemicals. The selection modules are linked to the uncertainty and validation modules to access information for chosen models. The PC-based software system employs pull-down menus, help screens, and graphics to display its information.


2012 ◽  
Vol 43 ◽  
pp. 407-412 ◽  
Author(s):  
Guozhong Huang ◽  
Haichao Bu ◽  
Siheng Sun ◽  
Aiji Chen ◽  
Yang Zhou

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