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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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I find ComBase absolutely essential to my teaching, research and outreach activities. I seldom go for more than a week without consulting it for solving a variety of food safety problems

Donald Schaffner
Distinguished Professor and Extension Specialist

Predictive Microbiology and Risk Assessment News

A Risk Modelling Approach for Setting Microbiological Limits Using Enterococci as Indicator for Growth Potential of Salmonella in Pork
Development of a Predictive Model for Salmonella spp. Reduction in Meat Jerky Product with Temperature, Potassium Sorbate, pH, and Water Activity as Controlling Factors
Growth of Listeria monocytogenes in Salmon Roe- A Kinetic Analysis
Towards Predictive Food Process Models: A Protocol for Parameter Estimation
Predictive Computer Models for Biofilm Detachment Properties in Pseudomonas aeruginosa
Dynamics of Listeria monocytogenes at Suboptimal Temperatures In/On Fish-Protein Based Model Systems: Effect of (Micro) Structure and Microbial Distribution