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

Quantifying the Impact of Biological and Experimental Variability Near the Growth Boundaries on the Stochastic Responses of Growth, Gene Transcription and Acid Resistance of Listeria monocytogenes
Artisanal Italian Salami and Soppresse: Identification of Control Strategies to Manage Microbiological Hazards
Growth Kinetics Parameters of Salmonella spp. in the Peel and in the Pulp of Custard Apple (Annona Squamosa)
Predictive Microbiology Models and Operational Readiness
The Analysis of the Behaviour of Listeria monocytogenes in Fresh Cheeses with Various Spices During Storage
Analysis of Vacuum Packed Beef Regarding Psychrotrophic Bacteria Growth and Biogenic Amines Content