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Welcome to the new home page of ComBase, a freely available website, the no.1 web-based resource for quantitative food microbiology. |
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It includes: |
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It can be used for: |
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A systematically formatted database of quantified microbial responses to the food environment with more than 50,000 records
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 Predicting and improving the microbiological safety and quality of foods
Designing, producing and storing foods economically
Assessing microbiological risk in foods.
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The ComBase Predictive Models - based on ComBase data to predict the growth or inactivation of microorganisms in food. |
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In this North American study, a Monte Carlo procedure and the G.A.B. model for moisture sorption isotherms were used to predict shelf-life frequency distributions for intermediate moisture (IM) tomato slices, and low moisture (LM) onion flakes and sliced green beans. The estimated shelf-life for tomato slices, LM onion flakes, and...
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UK researchers first constructed a model of the metabolism of a reference strain of Campylobacter jejuni. The model they developed describes the network of reactions that Campylobacter uses to fuel its growth and development. Computer simulations were then run on the model to find out the most critical pathways and...
Date: 6-7 February, 2012,
Venue: Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna “Bruno Ubertini”
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Database Browser
 The ComBase Database consists of thousands of microbial growth and survival curves that have been collated in research establishments and from publications
Access the ComBase Browser
Predictive Models
 The ComBase Predictive Models are a collection of software tools based on ComBase data to predict the growth or inactivation of microorganisms
Access the ComBase Predictive Models
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