PhD degree awarded: 20141105<br />
Predictive food microbiology is recognized by Codex Alimentarius and by the EU as important for assessment and management of food safety. However, sufficiently complex and accurate models are lacking for several pathogen/food combinations and models to accurately predict spoilage are few. The recognized benefits of using predictive microbiology models to assess and manage safety and quality within the food sector are far from fully exploited. The main objective of the present project is to study how predictive microbiology models efficiently can be expanded and thereby allow accurate prediction of bacterial growth in complex foods including fermented and structured dairy products. Predictive models for main spoilage microorganisms and important foodborne human pathogens will be studied and included in simple application software to facilitate practical use of the research. The project will contribute to more efficient risk assessment and dairy product development.
|Period||15/08/11 → 14/08/14|
|Financing source||Internal funding (public)|
|Research programme||Institut stipendie (DTU) Samf.|