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The ComBase Browser enables you to search thousands of microbial growth and survival curves that have been collated in research establishments and from publications.

The ComBase Predictive Models are a collection of software tools based on ComBase data to predict the growth or inactivation of microorganisms

 

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ComBase users say ...

ComBase is a tool that helps our business to predict microbial responses in foodstuffs to support better and faster product and process design, and to assess and manage risks to consumer health. It is of great value to us

Alejandro Amézquita, PhD Science Leader
Microbiological Risk Assessment & Food Safety
Unilever

Predictive Microbiology and Risk Assessment News

Assessing the Public Health Impact and Effectiveness of Interventions To Prevent Salmonella Contamination of Sprouts
Modeling the Survival Kinetics of Salmonella in Tree Nuts for Use in Risk Assessment
Predicting Outgrowth and Inactivation of Clostridium perfringens in Meat Products During Low Temperature Long Time Heat Treatment
Predicting the Kinetics of Listeria monocytogenes and Yersinia enterocolitica Under Dynamic Growth/Death-Inducing Conditions, in Italian Style Fresh Sausage
Variability in Cell Response of Cronobacter sakazakii after Mild-Heat Treatments and Its Impact on Food Safety
Modeling Cross-Contamination during Poultry Processing: Dynamics in the Chiller Tank