Leading in Predictive Modelling

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Foodcare

Predictive modelling

How do bacteria behave in your product? And what effect does this have on quality and shelf life? Thanks to predictive modelling (predictive microbiology), we can predict the behaviour of (pathogenic) bacteria in your food products. Our knowledge of this modelling supports quality managers.

Predictive modelling at a glance

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  • Thanks to our predictions, you can start with confidence

Predictive microbiology offers several possibilities for the analysis and control of bacteria in food products. A common application concerns the modelling of bacterial deactivation during the heating process. In addition, predictive models can be used to determine their shelf life, for example. We are happy to advise you on your specific situation.

Ensured food safety

Predictive microbiology offers important tools for quality managers. This way they can estimate the effects of the treatment of food on growth, survival and inactivation of pathogenic bacteria. Based on predictive modelling, you can determine how long a product needs to be treated to ensure food safety. With the results of such research, you can improve the production process, resulting in a higher return on investment. An example of this modelling is deactivation in a heating process. In addition, deactivation is also possible, for example, to calculate the shelf life.

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FAQ

Frequently asked questions

Predictive modelling is an advanced scientific approach that forecasts bacterial behaviour in food products. This methodology enables quality managers to understand the growth, survival, and inactivation patterns of pathogenic bacteria within specific products. By implementing predictive modelling, businesses can optimise preservation techniques, determine accurate shelf-life parameters, and validate production processes to ensure comprehensive food safety compliance and risk management.

Through predictive modelling, you can calculate the shelf life of your products. The models predict bacterial behaviour in your product under various conditions.