"ComBase can be a watershed in the development of Predictive Microbiology and its applications"
Professor McMeekin, Co-Director of the Australian Food Safety Centre in the final chapter of the McKellar, R.C. and Lu, X (eds), 2004: Modelling Microbial responses in Foods. CRC, Boca Raton, Fla., USA; pp 231-235. (McMeekin, T.A: An Essay on the Unrealized Potential of Predictive Microbiology.)
"ComBase is an exemplar of the way that governments and the research community can successfully work together to help improve the safety of food products. The Food Standards Agency strongly supports this initiative, its widespread application and its use to reduce foodborne disease."
Jon Bell, Chief Executive Officer, Food Standards Agency, UK
The ComBase Database consists of thousands of microbial growth and survival curves that have been collated in research establishments and from publications
New technologies aim to keep salmonella off the menu
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