Cbot-PREDICTOR – Clostridium botulinum and safe cheeses
The project aims to develop a mathematical model and a tool to reliably predict no-growth conditions for microorganism Clostridium botulinum in spreadable cheeses during distribution at ambient temperature.
By: Grith Mortensen
This predictive tool will facilitate product formulation and innovation of safe spreadable cheeses. There is a need to increase processing of excess milk in Denmark into new value-added products for export to growing markets outside of Europe. Innovation is needed, and the project contributes to flexible product development and reduced time-to-market for new spreadable cheeses. Studies of C. botulinum in food are costly and time consuming due to its formation of a very potent neurotoxin. A new approach is applied, and non-toxigenic mutants of C. botulinum are constructed within the present project and then used to develop a growth and growth-boundary model. The project includes two research groups with complementary skills and close collaboration with the Danish dairy sector.
Project period: November 2018 - October 2021
Budget: 3.527.000 DKK
Financing: Milk Levy Fund, in-kind and direct funding from the participating parties
Project manager: Paw Dalgaard
Institution: DTU Food
Participants: Arla Foods and KU Leuven
Dalgaard P. and Koukou I. 2019. Clostridium botulinum and safe cheeses. Presentation at Arla Innovative Center, 18 June 2019.
Koukou I., Devitt T.D., Janionis J., Mejlholm O., Dalgaard P., 2019. Extended cardinal parameter growth and growth boundary model for non-proteolytic Clostridium botulinum - effect of ten environmental factors. Poster at the 11th ICPMF Conference 2019, 17-20 September 2019, Braganza, Portugal.
Dalgaard, P., Cowan, B.J., Martinez-Rios, V. 2019. FSSP v. 5.0 – A new software with predictive models for a range of dairy products. Abstract for oral presentation at ICPMF11, 17-20 September 2019, Braganza, Portugal.