Today, computer controlled bioreactors are used to aseptically produce large quantities of important biologicals such as amino acids, recombinant proteins,
antibiotics or viral vaccines.
Many of the existing as well as potential new drugs are produced in eukaryotic cells which show poor productivity compared to classical fermentation processes.
To achieve the full potential of biotechnological production methods, highly developed cell culture technologies and sophisticated product recovery steps have to
be established. Furthermore, a detailed description of the complex mechanism underlying cell growth and product formation is indispensable. Consequently, the
acquisition of an enormous amount of data on different levels is required to develop and optimize new and existing industrial processes. Ongoing improvements
in on- & off-line monitoring facilitate the analysis of cell metabolism, media consumption and product formation in bioreactors or give relevant information on
yield or product purity after several chromatographic processes. Furthermore, recent progress in high-throughput analysis of gene and protein expression, protein
function or signal transduction will help to elucidate mechanisms of cellular behavior and offer tremendous opportunities for optimizing bioprocesses or develop new
applications in pharmacy and medicine.
Mathematical modeling plays a crucial role in analyzing and optimizing cell culture technology. Without such models it is practically impossible to quantitatively
understand metabolic pathways and regulatory networks of cells, complex interactions between microorganisms and their environment in a bioreactor or to allow for a
rational design of downstream processing steps to maximize yield and purity of the final product. So far, only qualitative aspects of cell growth and product formation
are established for most of the existing products.
At present, research focuses on bioprocesses required to prevent and eradicate infectious diseases, which are in terms of product numbers and social impact one of the
most challenging areas of cell culture. Mathematical modeling of biological systems as well as monitoring and control of bioprocesses is done in close cooperation with
research groups Systems Biology and Systems and Control Theory. Furthermore, analytical methods to better understand aspects of gene expression, metabolism and signal
transduction in cellular systems are being developed.
The Bioprocess Engineering group has 5 teams that all have cooperations with the Bioprocess Engineering group at the Otto-von-Guericke-University, Magdeburg
Project groups and subprojects:
Projects of the chair for Bioprocess Engineering at the Otto-von-Guericke-University
- Mathematical Modeling Approaches - Prof. Dr.-Ing. Udo Reichl
- Microbiology - Dr. Dirk Benndorf
- Downstream Processing - Dr. Michael Wolff
list of projects