Combining Mechanistic Modeling and Raman Spectroscopy for Monitoring Antibody Chromatographic Purification
| Autor: | Martin F. Luna, Massimo Morbidelli, Alessandro Butté, Simone Garbellini, Hervé Broly, Sebastian Vogg, Fabian Feidl, Jonathan Souquet |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Spectrum analyzer Materials science extended Kalman filter Bioengineering lcsh:Chemical technology 01 natural sciences Raman spectroscopy downstream processing chromatography flow cell extended Kalman filter lcsh:Chemistry Extended Kalman filter symbols.namesake Robustness (computer science) 010608 biotechnology Chemical Engineering (miscellaneous) Process control lcsh:TP1-1185 Sensitivity (control systems) Raman spectroscopy downstream processing chromatography flow cell Chromatography Downstream processing Noise (signal processing) Process Chemistry and Technology 010401 analytical chemistry 0104 chemical sciences lcsh:QD1-999 symbols |
| Zdroj: | Processes Volume 7 Issue 10 Processes, Vol 7, Iss 10, p 683 (2019) Processes, 7 (10) |
| ISSN: | 2227-9717 |
| DOI: | 10.3390/pr7100683 |
| Popis: | Chromatography is widely used in biotherapeutics manufacturing, and the corresponding underlying mechanisms are well understood. To enable process control and automation, spectroscopic techniques are very convenient as on-line sensors, but their application is often limited by their sensitivity. In this work, we investigate the implementation of Raman spectroscopy to monitor monoclonal antibody (mAb) breakthrough (BT) curves in chromatographic operations with a low titer harvest. A state estimation procedure is developed by combining information coming from a lumped kinetic model (LKM) and a Raman analyzer in the frame of an extended Kalman filter approach (EKF). A comparison with suitable experimental data shows that this approach allows for the obtainment of reliable estimates of antibody concentrations with reduced noise and increased robustness. Processes, 7 (10) ISSN:2227-9717 |
| Databáze: | OpenAIRE |
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