Niels Krausch
Papers
6
Total Citations
127
H-Index
4
About
Niels Krausch is a bioprocess engineering researcher whose work sits at the intersection of automation, high-throughput experimentation, and microbial cultivation. His research focuses on developing advanced mini-bioreactor platforms and intelligent screening strategies to accelerate and optimize bioprocess development for industrial biotechnology applications. Krausch's most influential contribution is the development of an integrated robotic mini-bioreactor platform enabling automated, parallel microbial cultivations with real-time data handling and process control, garnering 59 citations since 2019. This work dramatically expanded the experimental throughput available to bioprocess developers, addressing a longstanding bottleneck in translating laboratory findings to industrial scale. Building on this foundation, he applied multivariate statistical approaches and online analytics to monitor and predict bioprocess performance, as demonstrated through yeast-based endopolygalacturonase production and *Escherichia coli* screening studies. A recurring theme in Krausch's portfolio is the use of adaptive fed-batch cultivations for parallel strain screening, allowing researchers to evaluate multiple microbial hosts and genetic constructs simultaneously under industrially relevant conditions. His more recent model-based characterization of *E. coli* glucose uptake mutants reflects a growing emphasis on mechanistic understanding to complement high-throughput empiricism. Collectively, his work offers researchers powerful tools for faster, smarter bioprocess design.
Research Focus
Key Achievements
Top Papers
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- 3Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis18 citations · 2020
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