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 ...

We find ComBase a very useful tool and use it for a variety of activities including shelf life determinations, maximum run lengths for how long a line can run before it requires cleaning and to help define appropriate conditions for microbial challenge tests.


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
Risks for Public Health Related to the Presence of Bacillus cereus and Other Bacillus spp. Including Bacillus thuringiensis in Foodstuffs
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