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23835 Rapid Detection, Enumeration and Characterization of Foodborne Pathogens
|Hurtig påvisning, kvantificering og karakterisering af fødevarebårne patogener.|
|Ph.D.- Life Science|
|Taught under open university|
Class contact (lecture) 0 hours
Class contact (practical)0 hours
Specified learning (textbook 32 hours
Autonomous learning literature)32 hours
Scope and form:
The course is exclusively online. The communication between teacher and students will be through CampusNet at DTU Portal. The teaching will be supplemented through webinars at YouTube. There will be no physical meeting or class attendance. A textbook (published by the course teacher) will be the main reading material. The reading will be supplemented with publications from literature. It is important that all registered students have access to the Internet and can be reached via e-mail.
Duration of Course:
|[The Course is not following DTUs normal Schedule]|
Date of examination:
|Decide with teacher,
Decide with teacher
Passed/not passed. In order to pass, the student must have answered 75% (3 out of 4) of the assignments correctly. This will be judged by the main teacher and an external censor. There will be no final examination.|
Type of assessment:
General course objectives:
The course proposed is part of a deliverable of an EU project (AniBioThreat) at DTU-Food. The main objective of the EU project is to improve traceability of intentional and inadvertent contamination of food and animal production chains.
Traceability of microorganisms and their toxins along the entire food production chain and the use of advanced methods to trace and track these are essential to ensure the safety/security of the food chain. This course will review the most important Foodborne pathogens that can be transmitted through the food chains to humans. It provides a thorough introduction to advanced molecular methods for detection, enumeration and characterization. It will present a structured and detailed description of main pathogens and their specific detection from the point of sampling through sample pre-treatment, analysis and data analysis.
|A student who has met the objectives of the course will be able to:|
- • Design appropriate sampling methods for different pathogens
- • Understand the cons and pros of modern techniques compared to culture-based methods
- • Select appropriate diagnostic methods for rapid detection purposes
- • Choose the right pre-analytical sample treatment protocol and test method for each food commodity
- • Select the right method for the right commodity
- • Learn about the possibilities and limitations of DNA techniques for detection and sub-typing purposes.
The studies will be organized in four following themes:
Theme 1. Critical considerations in setting up rapid methods (sampling, statistics, validation, etc.).
Theme 2. Current detection and typing methods.
Theme 3. Fresh produce, water and seafood testing for pathogens.
Theme 4. Future of advanced laboratory methods.
Both classical and modern methods for detection of pathogens will be reviewed in relation to laboratory diagnostics, monitoring, surveillance and source attribution programs. A major part of the studies will include sampling strategies for different pathogens, bottlenecks in pre-analytical sample treatment for rapid tracing, rapid methods of analysis, enumeration and characterization of pathogens, and critical evaluation of different methods.
Text book: Rapid Detection, Characterization and Enumeration of Foodborne Pathogens (2011). Hoorfar J. (ed.). American Society for Microbiology. Washington, D.C., USA. ISBN 978-1-55581-542-4.
Green challenge participation:
Please contact the teacher for information on whether this course gives the student the opportunity to prepare a project that may participate in DTU´s Study Conference on sustainability, climate technology, and the environment (GRØN DYST). More information
|, H, 2.20, (+45) 3588 7379,
, D, 206, (+45) 3588 7253,
|23 National Food Institute|
Registration Sign up:
|At the professor's office|
Signing up: firstname.lastname@example.org, Mr. Jeffrey Skiby, include your address, phone number and the university where you are a student
|Microbiology, food, pathogen, method, detection, PCR, Microarray, typing.|
June 28, 2012|
See course in DTU Course base