Project Details
LC-MS-QTof-analyzer
Subject Area
Process Engineering, Technical Chemistry
Term
Funded in 2020
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 452732483
The focus of the professorship for microbial biotechnology is on the development and optimization of microbial production processes for chemicals and fuels from renewable raw materials and systems-level physiological studies of microbes under industrial process conditions. To exploit the potential of established and microbial systems for industrial biotechnology, we apply the methodology of metabolic engineering, systems biology and synthetic biology. The construction of tailor-made cell factories is carried out by modern methods of genetic engineering. The development of a quantitative and systemic understanding of the metabolic performance of microbial platforms such as Vibrio natriegens, Pseudomonas putida, Hydrogenophaga pseudoflava and Corynebacterium glutamicum is essential in this context. In addition, we investigate metabolic networks in the model plant Arabidopsis thaliana and in particular the functions of cytochrome P450 enzymes and their application for microbial biotechnology. With the requested LC-MS-QTof analysis system, samples from microbial or plant cultivation approaches are to be analyzed using different process control strategies (e.g. batch, fed-batch, continuous process control etc.) as well as samples from screening and evolution approaches. This is necessary in a level of detail that is currently not possible at the professorship for microbial biotechnology. The metabolome analysis to be established should focus on so-called untargeted metabolomics, i.e. profiling and fingerprinting approaches, as well as the identification of non-referenced or unknown compounds, and thus be used, for example, to elucidate metabolic pathways and cellular regulatory mechanisms as well as to optimize production systems.
DFG Programme
Major Research Instrumentation
Major Instrumentation
LC-MS-QTof-Analysengerät
Instrumentation Group
1700 Massenspektrometer
Applicant Institution
Technische Universität München (TUM)