LC-MS-QTof-analyzer

LC-MS-QTof分析仪

• 批准号: 452732483
• 金额: --
• 依托单位: Technische Universität München (TUM)
• 依托单位国家: 德国
• 项目类别: Major Research Instrumentation
• 财政年份: 2020
• 资助国家: 德国
• 起止时间: 2019-12-31 至 无数据
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/452732483?language=en
• 关键词: LC; MS; QTof; analyzer

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.

微生物生物技术教授的重点是开发和优化从可再生原料生产化学品和燃料的微生物生产过程，以及工业过程条件下微生物的系统级生理研究。为了开发工业生物技术中已建立和微生物系统的潜力，我们应用了代谢工程，系统生物学和合成生物学的方法。定制细胞工厂的建设是由现代基因工程方法进行的。在此背景下，对营养弧菌、恶臭假单胞菌、假黄食氢菌和谷氨酸杆状杆菌等微生物平台的代谢性能进行定量和系统的了解是必不可少的。此外，我们还研究了模式植物拟南芥的代谢网络，特别是细胞色素P450酶的功能及其在微生物生物技术中的应用。使用所要求的LC-MS-QTof分析系统，来自微生物或植物培养方法的样品将使用不同的过程控制策略（例如批处理、补料批处理、连续过程控制等）以及来自筛选和进化方法的样品进行分析。这在详细程度上是必要的，而目前微生物生物技术的教授职位还不可能做到这一点。即将建立的代谢组学分析应侧重于所谓的非靶向代谢组学，即分析和指纹方法，以及非参考或未知化合物的鉴定，从而用于阐明代谢途径和细胞调节机制，以及优化生产系统。