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 ...

ComBase can be a watershed in the development of Predictive Microbiology and its applications

Professor McMeekin, Co-Director
Australian Food Safety Centre

Predictive Microbiology and Risk Assessment News

Variability in the Adaptive Acid Tolerance Response Phenotype of Salmonella enterica Strains
Salmonella Typhimurium and Staphylococcus aureus Dynamics In/On Variable (Micro) Structures of Fish-Based Model Systems at Suboptimal Temperatures
EFSA to Deepen Ties with China
Application of Predictive Models to Assess the Influence of Thyme Essential Oil on Salmonella Enteritidis Behaviour During Shelf Life of Ready-To-Eat Turkey Products
Cheese Microbial Risk Assessments- A Review
Modeling Optimal Process Conditions for UV-Heat Inactivation of Foodborne Pathogens in Liquid Foods