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Predictive Models for Behavior of Biothreat Agents and Toxins in Foods

Investigators
Lindsay, James
Institutions
USDA - Agricultural Research Service
University of Tasmania
Start date
2006
End date
2007
Objective
To develop predictive models for 1) the growth, survival and inactivation of Bacillus anthracis Sterne in liquid eggs, 2) the growth of Salmonella DT104 in liquid eggs, and 3) the survival and inactivation of Clostridium botulinum toxin in liquid eggs, ham and ground beef.
More information
Approach: Predictive models will be developed from data provided by independent FSIS-funded project investigators, as well as from independent data produced through research at the University of Tasmania. The experiments conducted by the University of Tasmania will fill data gaps, as necessary, and used to verify and validate the models. Predictive models will address the growth, survival and inactivation of Bacillus anthracis Sterne in liquid eggs; the inactivation of Clostridium botulinum toxin in liquid eggs, ham and ground beef; and the growth of Salmonella DT104 in liquid eggs. The resulting growth and inactivation models will be translated into spreadsheet interfaces for user-friendly predictions.
Funding Source
Agricultural Research Service
Project number
0204-41510-001-04S
Accession number
411355
Categories
Natural Toxins
Bacterial Pathogens
Salmonella
Commodities
Meat, Poultry, Game