A5074454835- Viral Infectious Diseases and Gene Expression in Insects
- Advanced Control Systems Optimization
- Microbial Metabolic Engineering and Bioproduction
- Food Supply Chain Traceability
- thermodynamics and calorimetric analyses
- Soil Mechanics and Vehicle Dynamics
- Chemistry and Chemical Engineering
- Fault Detection and Control Systems
- ATP Synthase and ATPases Research
- Biochemical and Molecular Research
- Fluid Dynamics and Mixing
- Enzyme Structure and Function
Technische Universität Berlin
2016-2024
Cell Biotech (South Korea)
2023
Biocat
2023
Virtuelle Fabrik (Switzerland)
2017
Software (Spain)
2017
Abstract Bioprocess development, optimization, and control in mini‐bioreactor systems require information about essential process parameters, high data densities, the ability to dynamically change conditions. We present an integration approach combining a parallel system integrated into liquid handling station (LHS) with second LHS for offline analytics. Non‐invasive sensors measure pH DO online. Offline samples are collected every 20 min acetate, glucose, OD 620 subsequently analyzed...
Robotic facilities that can perform advanced cultivations (e.g., fed-batch or continuous) in high throughput have drastically increased the speed and reliability of bioprocess development pipeline. Still, developing reliable analytical technologies, cope with cultivation system, has proven to be very challenging. On one hand, accuracy suffers from low sampling volumes, on other number samples must treated rapidly is large. These issues been a major limitation for implementation feedback...
Results are presented from the optimal operation of a fully automated robotic liquid handling station where parallel experiments performed for calibrating kinetic fermentation model. To increase robustness against uncertainties and/or wrong assumptions about parameter values, an iterative calibration and experiment design approach is adopted. Its implementation yields stepwise reduction together with adaptive redesign reactor feeding strategies whenever new measurement information available....
In this study, we show the successful application of different model-based approaches for maximizing macrolactin D production by Paenibacillus polymyxa. After four initial cultivations, a family nonlinear dynamic biological models was determined automatically and ranked their respective Akaike Information Criterion (AIC). The best were then used in multi-model setup robust product maximization. experimental validation shows highest yield attained compared with identification runs so far....
Increasing the comparability to large scale fermentations is a constant aim during scale-down, including growth-limiting feeding of carbon source. Minibioreactor facilities greatly increase throughput and offer many advantages. However, online measurements in this small often do not include critical process variables, necessary control feed rate. State estimators utilize mathematical models estimate non-measurable states applying existing information about inputs, outputs, measurement...
Abstract Pyrimidine and purine nucleoside phosphorylases catalyze the reversible phosphorolytic cleavage formation of glycosidic bond pyrimidine nucleosides, respectively, are thus, key catalysts for synthesis new compounds. The selection best combination enzyme reaction conditions is not trivial, as each two enzymes can perform in directions also competes with other one intermediates. A generic approach to solution this problem based on formulation a mixed integer dynamic optimization...
Dynamic operation of biological processes, such as anaerobic digestion (AD), requires reliable process monitoring to guarantee stable operating conditions at all times. Unscented Kalman filters (UKF) are an established tool for nonlinear state estimation, and there exist numerous variants UKF implementations, treating constraints, improvements numerical performance different noise cases. So far, however, a unified comparison proposed methods emphasizing the algorithmic details is lacking....