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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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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

The Effect of Different Matrices on the Growth Kinetics and Heat Resistance of Listeria monocytogenes and Lactobacillus plantarum
Microbial Variability in Growth and Heat Resistance of a Pathogen and a Spoiler: All Variabilities are Equal but Some are More Equal Than Others
Kinetic Models for Pulsed Electric Field and Thermal Inactivation of Escherichia coli and Pseudomonas fluorescens in Whole Milk
Shelf-Life Prediction Models for Ready-To-Eat Fresh Cut Salads: Testing in Real Cold Chain
Shelf-Life Prediction Models for Ready-To-Eat Fresh Cut Salads: Testing in Real Cold Chain
Kinetic Models for Pulsed Electric Field and Thermal Inactivation of Escherichia coli and Pseudomonas fluorescens in Whole Milk