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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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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?