This project aims to develop and validate a novel quantitative method, based on Analysis of Variance techniques, to give an improved prediction of bacterial lag time and growth in food. This would allow the optimisation of food processing methods, to ensure microbiological safety and quality. The distribution of the lag times of individual cells/spores will be measured by microscopic (automated image analysis) and turbid metric methods and analysed by stochastic mathematical models. The obtained distribution will be used to optimise earlier food process and treatment, and to predict the bacterial responses to the subsequent food environment accurately. The proposal addresses problems of variation of the lag time of individual cells that are not addressed by current predictive microbiology.
Funding SchemeCSC - Cost-sharing contracts
3133 AT Vlaardingen
RG6 6AH Reading / Silchester
7001 Tasman Island