Article ID Journal Published Year Pages File Type
10107479 International Journal of Food Microbiology 2005 22 Pages PDF
Abstract
For cooling cooked hams from 66.6 °C to 4.4 °C using forced air, the maximum deviation between predicted and experimental core temperature data was 2.54 °C. Predicted C. perfringens growth curves obtained from dynamic modeling showed good agreement with validated results for three different cooling scenarios. Mean absolute values of relative errors were below 6%, and deviations between predicted and experimental cell counts were within 0.37 log10 CFU/g. For a cooling process which was in exact compliance with the FSIS stabilization performance standards, a mean net growth of 1.37 log10 CFU/g was predicted. This study introduced the combination of engineering modeling and microbiological modeling as a useful quantitative tool for general food safety applications, such as risk assessment and hazard analysis and critical control points (HACCP) plans.
Related Topics
Life Sciences Agricultural and Biological Sciences Food Science
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