Access ComBase

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



ComBase users say ...

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