Refolding of proteins from Inclusion Bodies (IBs) poses a viable alternative to soluble expression of proteins, since the IBs consist of the target protein with high purity, high concentrations, and high stability. Recently, these benefits led to a huge potential for the commercial production of proteins based on IB processes. Here, the refolding step is the crucial unit operation in the downstream processing chain.
Model-based approaches using Digital Twins are a promising method to gather process knowledge in the form of process models to enable a controlled and yield oriented refolding process. For this purpose, mechanistic models are fit on experimental data. The resulting parametrized model can then be used to perform refolding processes in a monitored and controlled environment in a bioreactor.
The thesis aims to:
- Develop and adapt mechanistic refolding models and fit them onto experimental data
- Monitor protein refolding processes in a real-time environment using model-based techniques such as state-estimation
- Control of refolding environments in a bioreactor
- Master studies in Biotechnology, Process engineering, Biochemistry, Bioinfomatics or a related field
- Experience in bioanalytical methods and standard lab work
- Experience or motivation to learn data evaluation and simulation techniques in Matlab or Python
- A superior command of English
- Participate in an industrially relevant project
- Work in a multidisciplinary team on a future-oriented topic
- Intensification of skills in the fields of bioprocess technology, simulation, modelling and control
Time-frame and salary
This work is scheduled for 6 months starting in July 2022 and is compensated with 300 € per month