ComBase is an online tool for quantitative food microbiology. Its main features are the ComBase database and ComBase models.

The ComBase web interface can be easily accessed on any platform, including mobile devices, in a user friendly way.

The focus of ComBase is describing and predicting how microorganisms survive and grow under a variety of primarily food-related conditions.

ComBase is a highly useful tool for food companies to understand safer ways of producing and storing foods. This includes developing new food products and reformulating foods, designing challenge test protocols, producing Food Safety plans, and helping public health organizations develop science-based food policies through quantitative risk assessment.

Over 60,000 records have been deposited into ComBase, describing how food environments, such as temperature, pH, and water activity, as well as other factors (e.g. preservatives and atmosphere) affect the growth of bacteria.

Each data record shows users how bacteria populations change for a particular combination of environmental factors. Mathematical models (the ComBase broth and food models) were developed on systematically generated data to predict how various organisms grow or survive under various conditions.

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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