ComBase Predictor

ComBase Predictor  is a modified, augmented and improved web-version of the Growth Predictor stand-alone program. It isused for predicting the response of pathogens and spoilage microorganisms to key environmental factors (temperature, pH and salt concentration, etc) characterising the food environment. The majority of its models predict the growth/survival of foodborne pathogens as a function of temperature, pH and salt concentration, but in some cases the effect of an additional fourth environmental factor, such as the concentration of carbon dioxide or organic acids is modelled, too.

ComBase Predictor can simultaneously produce predictions for up to four microorganisms. It is also capable of predicting the bacterial response to dynamic temperature environments. This is especially useful when the changes in the storage temperature are known, for example, from a temperature logger. In this case, the data from the temperature logger (up to a hundred time-temperature points) can be entered into an input box.

Predictive models for ComBase Predictor are based only on output from laboratory experiments observed in culture media under well controlled laboratory conditions. Variation of cell concentration is described by a mathematical (growth or survival) curve. Its growth models represent fail-safe, conservative predictions

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