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

Persistent and Non-Persistent Strains of Listeria monocytogenes: A Focus on Growth Kinetics Under Different Temperature, Salt, and pH Conditions and Their Sensitivity to Sanitizers
Multi-Criteria Framework as an Innovative Tradeoff Approach to Determine the Shelf-Life of High-Pressure-Treated Poultry
Estimating Bacterial Pathogen Levels in New Zealand Bulk Tank Milk
A Predictive Growth Model of Aeromonas hydrophila on Chicken Breasts Under Various Storage Temperatures
Predictive Shelf Life Model Based on RF Technology for Improving the Management of Food Supply Chain: A Case Study
Validation of a Predictive Model Coupling Gas Transfer and Microbial Growth in Fresh Food Packed Under Modified Atmosphere