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TY - THES AU - Richter, Paul TI - Optimization of microbial triglyceride production in Ustilago maydis PB - Rheinisch-Westfälische Technische Hochschule Aachen VL - Dissertation CY - Aachen M1 - RWTH-2025-08662 SP - 1 Online-Ressource : Illustrationen PY - 2025 N1 - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University N1 - Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2025 AB - Global demand for plant oil has reached unprecedented levels, with relevance across most industrial sectors. Driven by the growing awareness of environmental issues related to traditional plant oils and the need for eco-friendly alternatives, microbial triglycerides production emerges as a promising alternative with significant potential. Harnessing the capabilities of oleaginous microorganisms is an innovative approach for achieving sustainable triglyceride production. This dissertation, conducted within the NextVegOil project, explores U. maydis as a promising candidate for microbial triglyceride production. It contributes to the field by developing and evaluating novel methods, screening and optimizing production parameters, and scaling up the production process. A novel screening method for real-time monitoring was established based on a fluorescent dye, which enables online measurement of triglyceride production in the BioLector system. Furthermore, the RAMOS technology was utilized to allow a comprehensive assessment of the metabolizable carbon sources and their order of metabolization. The insights gained from this method and further experiments presented in this work concluded that U. maydis can metabolize all major carbon sources in corn stover, including galactose, which was previously considered toxic to the organism. In addition, it was shown that acetic acid as a co-substrate can make triglyceride production more efficient. Subsequent to method development and screening experiments, a successful Scale-Up based on the volumetric power input was demonstrated. Furthermore, successful process optimization led to a four-fold increase in the space time yield. This optimization was achieved through precise pH control and adjustment of the glucose concentration. Moreover, a systematic evaluation of process parameters influencing fatty acid composition enabled process-driven tailoring of fatty acid profiles and, thereby, the tailoring of the triglyceride properties. This research established U. maydis as a microbial triglyceride producer and optimized the production process. It emphasizes the necessity for further process refinement, metabolic engineering, and efficient downstream processing to enhance triglyceride yield and application-specific fatty acid compositions. LB - PUB:(DE-HGF)11 DO - DOI:10.18154/RWTH-2025-08662 UR - https://publications.rwth-aachen.de/record/1019933 ER -