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

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

Professor McMeekin, Co-Director
Australian Food Safety Centre

ComBase is a tool that helps our business to predict microbial responses in foodstuffs to support better and faster product and process design, and to assess and manage risks to consumer health. It is of great value to us

Alejandro Amézquita, PhD Science Leader
Microbiological Risk Assessment & Food Safety

We find ComBase a very useful tool and use it for a variety of activities including shelf life determinations, maximum run lengths for how long a line can run before it requires cleaning and to help define appropriate conditions for microbial challenge tests.


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



Predictive Microbiology and Risk Assessment News

Risk Assessment of Fungal Spoilage: A Case Study of Aspergillus niger on Yogurt
Modelling the Effect of Combined Antimicrobials: A Base Model for Multiple-Hurdles
Combined Effects of Temperature, pH and Water Activity on Predictive Ability of Microbial Kinetic Inactivation Model
Modelling Biofilm Formation of Salmonella enterica ser Newport as a Function of pH and Water Activity
Growth Kinetics Parameters of Salmonella spp. in the Peel and in the Pulp of Custard Apple (Annona Squamosa)
Aerobic Microbial Inactivation Kinetics of Shrimp Using a Fixed Minimal Ozone Discharge: A Fact or Fib During Iced Storage?