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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 study, the effect of refrigeration and freezing temperatures ('20, '12, 0, 4, and 8C) on growth and survival of Listeria innocua and Salmonella enterica serovar Typhimurium in raw chicken breasts for storage times of 3, 7, 10, 14, and 21 d were investigated. A modified Weibull model was...
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Chinese researchers measured the survival rates of three C. jejuni strains inoculated onto chicken meat samples at '20C and 4C, and the survival curves of these three strains were determined. The results showed that the number of surviving cells decreased by 3.16, 2.87, and 3.14 log colony-forming unit (CFU)/g, respectively,...
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This Italian research proposed the optimization of a preserving treatment (homogenization"high-pressure homogenization (HPH)"and some safe antimicrobial compounds) able to inhibit the spoiling and pathogenic microflora of milk. Lactobacilli and bifidobacteria were the most resistant microorganisms (as a threefold treatment at 150 MPa was required to achieve a cell reduction of...
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This European study systematically investigated laboratory and industrial scale batches of powdered infant formula, modelled the enumeration data using a range of statistical distributions, and assessed the appropriateness of individual models. Enumeration data obtained for an industrial batch of powdered infant formula were investigated in this way as well. It...
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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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