contributes data on pathogen growth and survival in relation to factors such as the influence of stress and adhesion. This information will be used to determine the physiological interactions between pathogens and meat surfaces and the relationship of these to survival. The data obtained will be used in predictive models
provide additional information on pathogen growth with particular reference to the influence of packaging and refrigeration. Work on validation of growth models will also be undertaken on specific meat types, particularly beef. The data produced will also be used to evaluate the risk associated with current retail practices, compared to those in retail outlets after the introduction of SMAS
work on the effectiveness of SMAS in predicting the shelf life of products. The relationship of SMAS in conditions of temperature abuse and the relationship to storage temperatures will be investigated