ONLINE COURSE: On-demand
COURSE FEE: 350 € per session
COURSE ORGANIZATION
Course organized in 8 sessions
Sessions can be taken individually
Scheduling: suggested one session per week
Effort: 4 - 8 hours per session
COURSE DESCRIPTION
The course provides a comprehensive overview of the concepts and methodologies of bioprocess engineering for the digital design and optimization of animal cell culture bioreactors. It covers cell culture kinetics, oxygen and carbon dioxide transfer in bioreactors, the development of knowledge-driven simulation models, the scale-up and optimal operations of batch, fed-batch and continuous perfusion bioreactors. The course combines methodological review presentations with an industrial case-study on cells or antibodies production.
INSTRUCTOR
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Jean-Marc Engasser, BioProcess Digital
DIGITAL LEARNING
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Learning platform with course resources
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Live or recorded slideshow presentations
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Case studies on spreadsheet templates with guides and corrections
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Online collective or one-to-one tutoring
COURSE PROGRAM
SESSION 1: CELL CULTURES ENGINEERING PRINCIPLES
Cell cultures governing phenomena. Mass balances in bioreactors. Mass transfer in bioreactors.
SESSION 2: CELL CULTURES KINETICS
Animal cells kinetics. Kinetic analysis of cells growth, death and metabolism at the laboratory
SESSION 3: OXYGEN TRANSFER AND CONSUMPTION KINETICS
Kinetic analysis of oxygen transfer and cellular uptake. Oxygen solubility and transfer rate laws
SESSION 4: CELL CULTURE BIOREACTOR SIMULATION MODEL
Simulation model mass balances and kinetics at the laboratory. Model construction on spreadsheet.
SESSION 5: BATCH BIOREACTOR SCALE-UP AND OPTIMAL OPERATION
Bioreactor simulation model scale-up. CO2 production and transfer modeling. Batch culture digital optimization
SESSION 6: FED-BATCH CULTURE SCALE-UP AND OPTIMAL OPERATION
Fed-batch bioreactor principles and operational variables. Fed-batch culture simulation and digital optimization
SESSION 7: PERFUSION CULTURE SIMULATION AND OPTIMIZATION
Perfusion bioreactor principles and operational variables. Perfusion culture simulation and digital optimization
SESSION 8: SENSITIVITY AND UNCERTAINTY ANALYSIS OF DIGITAL SCALE-UP
Cell cultures sensitivity analysis: most influential operational variables. Uncertainties of simulation model predictions