Overordnede kursusmål
The objective of the course is to provide the students with an
overview of both the potential hazards and the human health
benefits of aquatic food consumption. This course provides students
with key information for risk assessment, risk management (HACCP)
and risk-benefit analysis in relation to aquatic food processing,
packaging, distribution and consumption.
Læringsmål
En studerende, der fuldt ud har opfyldt kursets mål, vil kunne:
- Describe basic concepts of aquatic food risk analysis.
- Apply the HACCP system for safety management of aquatic
food.
- Describe human health benefits of aquatic food
consumption.
- Evaluate and compare risks and human health benefits of aquatic
food consumption.
- Explain human health benefits of specific functional aquatic
food components.
- Analyse data from databases about aquatic food-borne diseases
outbreaks.
- Apply predictive microbiology software to evaluate microbiaal
hazards in aquatic foods.
- Review, analyse and present data in a synthetic
report.
Kursusindhold
The course includes e-learning with webinars and it is important
that students have access to Internet and can be reached by e-mail.
The course will allow student to identify hazards and to discuss
how processing, distribution and consumption will influence safety
and health effects of aquatic food. Relevant biological and
chemical hazards in aquatic food are presented including pathogenic
bacteria, viruses, parasites, aquatic biotoxins, histamine/biogenic
amines and industrial and environmental contaminants. Quantitative
microbial ecology, mathematical modelling and software are included
for evaluation and management of hazards during processing and
distribution of aquatic food to the end-consumers. Functional
aquatic food components (omega-3 fatty acids, vitamin D,
proteins/peptides, taurine, selenium, iodine, chitosan,
antioxidants, polysaccharides, macro algae) and their beneficial
human health effects are presented and evaluated in relation to
regulations, health claims and risk benefit analysis.
Sidst opdateret
01. november, 2016