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Forschung am FG Bioverfahrenstechnik

Work groups

Smart Bioproduction Grids

Smart Bioproduction Grids comprises the combination of different processes and process steps for a resource and environmental friendly bioproduction.

The use of organic residuals for the biotechnological production of food and feet additives, biopolymers and energy are key goals. The differentiation in multiple process steps is crucial when using waste streams. Process coupling and co- or mixed cultivation techniques are used for the production of valuable compounds. Pre-treatment of the feedstock is necessary, when biogenic residuals are used, since it can ensure  a reliable process operation. For each process step different conditions in terms of temperature, gas and nutrient availability, pH e.g. are optimal, therefore different reactor designs and bioprocess strategy are applied. Shaken single-use bioreactors are the best option for the cultivation of many shear sensitive  stains.
Process operation is often continuously or in fed-batch mode in large bioprocesses. Therefore, scale-down strategies are implemented to investigate scaling effects already in lab-scale. Lifecycle assessment can be used to evaluate the biotechnological processes with respect to their ecological and economical impact.

High Throughput Bioprocess Development

The High Throughput Bioprocess Develoment (HTBD) working group focus on automated methods and model-based bioprocess engineering. Our main aim is to to find optimal process conditions for biotechnological applications. To this aim, pipetting robots / liquid handling stations are combined with process models and machine learning approaches. By combining automation and modeling, highly complex tasks can be completed quickly and accurately that would not be possible manually.

A wide range of biotechnological process development from library screening to conditional screening under scale-down conditions is dedicated by the HTBD group. The development and application of mechanistic models represents a large part of the work of the HTBD group. In collaborations and especially in the KIWI-biolab project, hybrid models and machine learning tool are increasingly becoming the focus of our work. Developed models are used for process monitoring as well as for process control (Model Predictive Control). In addition to the model-based methods, the HT laboratory is the heart of this research group. In building up this laboratory, the HTBD group has gained great competences in automation, integration of laboratory equipment and software engineering. This knowledge is contributed to various projects and in the SiLA consortium.

Process Analytical Technology

Process Analytical Technologies (PAT) methods are of increasing importance for process development and production in the meaning of Quality by Design.

Beside traditional fields of PAT as pharma and chemstry, anaerobic processes as brewing and biogas production are in the focus of the development and application of novel sensors. As morphological characteristics of microbial cultures can be used to observe and control in a wide range of bioprocesses.

Biogas production is still a black box, while the ongoing transmission of energy supply demands a maximum of efficiency and flexibility of the biogas processes in terms of substrate utilization and energy provision. In these mixed cultures, monitoring of characteristics can lead to the knowledge of the cultural composition and process state. However, in large scale bioprocesses, the microbial and process conditions differ inside the reactor, therefore multiposition monitoring is of special interest.

The observation of microbial cells e.g. cell size, viability and vitality should be carried out insitu or online as the cellular reaction might be influenced by the preparation for offline processing.

Our goal is a better integration of processes into closed supply chains and Smart Bioproduction Grids with enhanced monitoring strategies and process control.

Molecular Biology & Applied Biocatalysis

Our scientific interest is the production of "difficult to express" proteins in Escherichia coli and other prokaryotic hosts. These include multisubunit proteins, superlarge enzyme complexes, metalloproteins or peptides. Optimisation strategies are directed to proper folding of the proteins of interest with a special focus on posttranslational modifications, such as disulfide bond formation.

The current proteins of interest include (i) enyzmes in the nucleoside and nucleotide metabolism for the synthesis of non-natural bioactive compounds and (ii) the synthesis of ribosomal and nonribosomal bioactive peptides and (iii) hydrogenases.

For the selection of the biocatalysts and successful process development we closely cooperate with the other BVT groups. This guarantees a fast and consistent developmental process.

Joint Lab Bioelectronics


Microelectronics and biotechnology are performing a convergence process bringing both disciplines closer together. The process is mainly fed upon the development of methods aiming at the understanding and manipulation of nano-scaled objects. The new discipline of bioelectronics has evolved from this convergence dealing with the integration of electronic systems in biological environments and the study of interactions between both material worlds. One major trend is related to biosensors, where the progressive miniaturization enabled the introduction of micro-sensors into biological systems.

The Joint Lab Bioelectronics was founded by TU Berlin and the IHP – innovations for high performance microelectronics in order to deal with this recent development.

Core Facilities


The High Throughput Bioprocess Develoment Facility

Have a round to the lab in the 360° virtual tour.

Our automated bioprocess development platform consists of multiple liquid handling stations enabling automated cultivation (i) in different multiwell plate formats and (ii) in a miniaturized stirred bioreactor system. One robot station runs the analytical assays in addition. Screening is carried out in volumes as little as 200 µL per vessel in up to 96 vessels at the same time.

Full description