A systematically formatted database of quantified microbial responses to the food environment with more than 50,000 records
Predicting and improving the microbiological safety and quality of foods
Designing, producing and storing foods economically
Assessing microbiological risk in foods.
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
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
Predicting and improving the microbiological safety and quality of foods
The ComBase Database consists of 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