|Course coordinator(s)||dr. ir. DE Martens|
|Lecturer(s)||dr. ir. DE Martens|
|dr. ir. A Rinzema|
|Examiner(s)||dr. ir. A Rinzema|
|dr. ir. DE Martens|
Language of instruction:
Assumed knowledge on:
BPE-12806 Bioprocess Engineering Basics BT; PCC-12303 General Chemistry 1; MAT-14903 Mathematics 2; MAT-15003 Mathematics 3
BPE-21306 Bioreactor Design
Rapid advances in biology will soon allow us to design and construct cell factories, i.e. cells which are tailored to our process. The complexity of the biochemical reaction network in a cell makes mathematical models indispensable tools for constructing, optimizing and using such cell factories. This course teaches the basic aspects of building and using bioprocess engineering models for microbial cell factories. Two types of models will be discussed: black-box models and metabolic network models. Black-box models are based on observed cell behaviour in combination with material balances. Metabolic network models are based on detailed (genomic) knowledge of the cellular reaction network and material balances.
After successful completion of this course students are expected to be able to:
- explain the limitations of element balances, and explain which types of models can be added;
- set up and use simple network models for stoichiometric and kinetic analysis of cells;
- set up and use black-box models for cells;
- explain how network models and black-box models complement each other;
- explain which type of model is appropriate for a certain goal;
- choose experimental methods for measuring parameters for stoichiometric and kinetic models;
- calculate the required parameters from experimental results.
Attend the lectures, study the syllabus and work on assignments (tutorials).
A closed-book exam consisting of open questions about elements from the list above.
A syllabus will be available at the WUR-shop.