23551 Prædiktiv Fødevaremikrobiologi
2017/2018
Overordnede kursusmål
The course provides the students with an overview of the
quantitative microbial ecology of food and detailed insight in the
development and validation of predictive food microbiology models.
The aim is to enable students to understand the potential and the
limitations of predictive food microbiology models and their use in
assessment and management of microbiological quality and safety of
food.
Læringsmål
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
- Describe environmental parameters in food and their
quantitative effect on microbial responses.
- Obtain relevant information from databases and literature on
microbial responses in food.
- Characterise microbial kinetics in food by appropriate
mathematical models.
- Select appropriate deterministic or stochastic models for
microbial responses in food.
- Develop a predictive microbiology model of relevant complexity
for a specific food.
- Evaluate the performance of predictive microbiology models for
specific microorganism/food combinations.
- Understand the use of predictive microbiology models in
quantitative microbiological risk assessment and in risk and
quality management.
- Review, analyse and present predictive food microbiology data
in a synthetic report.
Kursusindhold
The course is based on lectures and computer exercises to explain
the development of predictive food microbiology models. The
students use this information in their project work to develop
and/or evaluate a predictive microbiology model for a selected
microorganism/food combination. The course will allow student to
predict microbial responses in food including effects of
processing, product characteristics and conditions of storage and
distribution to the consumer. Mathematical models to predict growth
or inactivation and the effect of constant or dynamic product
characteristics and storage conditions are presented. Predictive
models for the growth boundary of human pathogens are described
together with their application for development of new food
products and recipes. Data and methods to evaluate predictive
models and criteria for their validation are important and part of
the course. Software for development and application of
deterministic and stochastic predictive models are presented in
relation to assessment and management of microbial food quality and
safety.
Bemærkninger
This 3-week-course is well suited for Ph.D. students from DTU or
other universities. The course is part of the Nordic
M.Sc.-programme ‘Aquatic Food Production – Safety and Quality’ and
includes cases and exercises related to aquatic food products.
Sidst opdateret
04. maj, 2017