
Introduction to microbial fermentation technology & engineering
Fermentations technology and cost. Kinetics, understanding, simulation. Optimal operation in batch, fed-batch and continuous modes
ONLINE COURSE: On-demand
COURSE FEE: 350 € per session
COURSE ORGANIZATION
Course organized in 3 sessions
Sessions can be taken independently
Scheduling: suggested one session per week
Effort: 3 - 6 hours per session
COURSE DESCRIPTION
This introductory course is designed for students and professionals new to the field of microbial fermentations. It offers a comprehensive overview of the fermentations technologies for the industrial production of cells, metabolites and proteins. The course also introduces the concepts and methods of bioprocess engineering used to simulate, scale-up and optimize fermentation processes across diverse industrial applications. It outlines the rationale behind selecting the most appropriate mode of operation - batch, fed-batch, continuous - of microbial fermentors.
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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Fermentation simulations on spreadsheet templates
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Online collective or one-to-one tutoring
COURSE PROGRAM
SESSION 1: FERMENTATIONS TECHNOLOGY AND COST
Industrial cells and products. Fermentation media, microbial nutritional requirements
Aerobic and anaerobic fermentors technologies
Fermentation process cost: materials, equipment, energy and labor cost contributions
SESSION 2: KINETICS, UNDERSTANDING AND SIMULATION OF MICROBIAL FERMENTATIONS
Kinetics of microbial fermentations for the production of cells, metabolites and proteins.
Key biological and physical phenomena influencing fermentations kinetics
Development of simulation models integrating mass balances with cellular rates and mass transfer laws.
SESSION 3: OPTIMAL OPERATION OF MICROBIAL FERMENTATIONS
Comparative analysis of batch, continuous and fed-batch operation modes: principles, performances, limitations.
Strategies for optimizing process variables to maximize fermentor productivity.