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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

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