Inhalt des Dokuments
Dynamic Modelling and Optimization of Biological Systems
Sensor technology enables the generation of large amounts of data promoting a better understanding, monitor and control of cultivations. It is therefore necessary to apply mathematical methods for noise filtering, data correlation and model reduction to handle the measurements and extract the contained information. In addition, the chair for bioprocesses at the TU-Berlin investigates novel methods to model-based scale up/down. To achieve this, complex kinetic models are reduced to meet the state of information requirements of large scale processes.
Finally, optimal high throughput screening strategies are selected with optimal experimental design methods. Optimization programs search for the set of parallel experiments which maximized the information content obtained with the HTS technology.
Many native proteins in the genome of Escherichia coli could be considered unnecessary for industrial process conditions. It is the aim to identify and removed by an iterative process of protein identification of modelling and biological experiments.
The Rapid Bioprocess Development (with nine European academic and industrial partners) addresses the area of rapid development of novel bioactive molecules from the very early stages of potency and efficacy testing to the biomanufacturing process characterisation and effective monitoring.
Mobile multiposition sampling and multiparameter sensor systems have been implemented for the installation at biogas plants in order to examine the state of parameters under the consideration of gradients in the liquid phase.
Development of a new biotechnological production process based on self-produced nucleosides. Furthermore, a broad variety of nucleoside analogues, nucleotides and sugar moieties in connection to the nucleoside metabolism is offered.
Modelling of enzymatic cascade reactions
Biogas production from biomass is a representative example of the modern challenges faced in large scale bioprocesses.
The viability of cells is of basic importance for a proper functioning of the fermentation process for biogas production. In order to monitor the cell viability in lab and plant scale, an electrooptical method based on the EloTrace technology (Elosystems).