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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

Thermal and Pressure-Assisted Thermal Destruction Kinetics for Spores of Type A Clostridium botulinum and Clostridium sporogenes PA3679
Limitations of the Log-Logistic Model for the Analysis of Sigmoidal Microbial Inactivation Data for High-Pressure Processing (HPP)
Mycotoxin Production and Predictive Modelling Kinetics on the Growth of Aspergillus flavus and Aspergillus parasiticus Isolates in Whole Black Peppercorns (Piper nigrum L)
SuperPhy: Predictive Genomics for the Bacterial Pathogen Escherichia coli
Vibrio Bacteria in Raw Oysters: Managing Risks to Human Health
Quantification of Non-Proteolytic Clostridium botulinum Spore Loads in Food Materials