Our research focuses on the optimization of microbial strains and production processes using high-throughput experiments, quantitative omics technologies, and process modeling.

We utilize our so-called Mini Pilot Plant technology, based on microtiter plate experiments, to develop new workflows for faster in depth phenotyping of selected prokaryotic and eukaryotic chassis organisms. Additionally we develop untargeted optimization strategies through automated adaptive laboratory evolution. Our main analytical tools are proteome, metabolome and ¹³C/¹⁵N metabolic flux analysis based on LC-QToF and GC/GC-ToF mass spectrometry.

Recently, we started to develop novel robotic workflows for the automated, rational construction of industrially established prokaryotes such as Escherichia coli, Corynebacterium glutamicum or Pseudomononas putida. Their genetic blueprints are well known and reliable molecular cloning methods are waiting to be automated.

In our application, we focus on a microbial upcycling approaches from residual biomass to establish new or improved utilization chains for monomer production. For those strains with high production potential, bioprocess development at lab-scale is performed and further supported by detailed process modeling to provide the basis for a robust performance evaluation.