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Process adaptation in Fermentation Based Biomanufacturing

28455
Chemistry and Biology

About this course

The main purpose of this course is to introduce students to the methods and tools that are used when transferring a cell from a lab or research environment to pilot and full scale. The student following this course should therefore acquire a better understanding of the interactions between the cells and the hardware (the reactor), and will learn how to aim for optimal conditions for the cells to grow in large scale. The lectures will be given by experienced DTU teachers, combined with guest teachers from industry. The course includes visits to the pilot plant of DTU Chemical Engineering and to industry (e.g. pilot plant environment).

Learning outcomes

At the end of the course the learner will be able to: Set up a mass balance for different bioreactor operating modes Simulate different reactor operating modes and interpret the simulation results Describe the effect of introducing basic process control on a process in a bioreactor Describe the essential challenges related to solid state fermentations and fermentation processes using gaseous substrates Select a suitable set of on-line measurements for a cultivation process, as well as distinguish between pros and cons of specific basic and advanced sensor devices Describe the effect of scale on the performance of a microorganism, as well as pros and cons of different methods to mathematically describe or simulate effects of scale Develop process based strategies to optimize product formation in a fermentation process Distinguish between different downstream unit operations and evaluate the pros and cons of introducing in situ product removal (ISPR) on a specific process Design possible ways to transfer an engineered cell factory to pilot and/or full-scale. Design and implement a basic strategy for collection and handling of data on a fermentation process Distinguish between basic AI tools for fermentation data processing.

Examination

Written examination and reports

Course requirements

Basic knowledge on the use of MATLAB at the start of the course is an advantage, but not a necessity

Activities

Lectures, problem solving, simulation exercises (Matlab/Simulink).

Additional information

  • Credits
    ECTS 5
  • Level
    Master
  • Contact hours per week
    4
  • Instructors
    Krist V. Gernaey, Mogens Kilstrup
  • Mode of instruction
    Hybrid
If anything remains unclear, please check the FAQ of DTU (Denmark).
There are currently no offerings available for students of TUM (Germany)