|Title:||Development of Predictive Microbial Models for Food Safety and Their Associated Use in International Microbial Databases|
Pathogen growth in RTE foods, liquid egg products, and pre-packaged produce as a function of intrinsic and extrinsic food factors, and pathogen strain and physiological state will be determined. Also, combinations of intrinsic and extrinsic factors that delineate minimum heat treatments for pathogen lethality as well as safe rate and extent of cooling of heated meat and poultry supplemented with additives will be determined. |
Both static and dynamic temperature models will be developed. Developed models will be validated against data sets not used in model development and data set obtained from ComBase and published literatures. The underlying mathematics of each predictive model will be implemented in the ARS Pathogen Modeling Program. Raw data will be added to ComBase. The project will also collaborate with the IFR and the UTAS to further develop the Combase on improving its interface, functionality, and compatibility with PMP.
|Funding Source:||United States Department of Agriculture (USDA), Agricultural Research Service (ARS)|
|Institutions:||USDA/ARS - North Atlantic Area|
Hwang, Cheng-An (Andy)
|Pending USDA ARS Publications (NP 108):|
|Published USDA ARS Articles|
Predictive thermal inactivation model for effects and interactions of temperature, NaCl, sodium pyrophosphate and sodium lactate on Listeria monocytogenes in ground beef
Juneja VK, Mukhopadhyay S, Marks HL, Mohr T, Warning A, Datta A .
Food Bioprocess Tech. 2013 Apr 18. [Epub ahead of print]
Predictive model for the reduction of heat resistance of Listeria monocytogenes in ground beef by the combined effect of sodium chloride and apple polyphenols
Juneja VK, Hwang C, Sheen S, Friedman M, Altuntas E, Ayhan K.
Int J Food Microbiol. 2013 Mar 21. [Epub ahead of print]
Effect of meat ingredients (sodium nitrite and erythorbate) and processing (vacuum storage and packaging atmosphere) on germination and outgrowth of Clostridium perfringens spores in ham during abusive cooling
Redondo-Solano M, Valenzuela-Martinez C, Cassada D, Snow DD, Burson DE, Juneja VK, Thippareddi H .
Food Microbiol. 2013 Sep;35(2):108–15.
Optimization of a new mathematical model for bacterial growth
J Appl Microbiol. 2013 Jul;32(1):283-8.
|Publications:||View related publications.|
|Food Safety Categories:||Food and Feed Handling and Processing|
|Farm-to-Table categories:||Food processing|
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