Next Article in Journal
The Control of Apparent Wettability on the Efficiency of Surfactant Flooding in Tight Carbonate Rocks
Next Article in Special Issue
Practical Solutions for Specific Growth Rate Control Systems in Industrial Bioreactors
Previous Article in Journal
Economic MPC of Wastewater Treatment Plants Based on Model Reduction
Previous Article in Special Issue
Effects of Conventional Flotation Frothers on the Population of Mesophilic Microorganisms in Different Cultures
Open AccessFeature PaperArticle

Combining Mechanistic Modeling and Raman Spectroscopy for Monitoring Antibody Chromatographic Purification

1
Institute for Chemical and Bioengineering, ETH Zurich, 8093 Zurich, Switzerland
2
Merck Serono S.A. Biotech Process Sciences, 1809 Corsier-sur-Vevey, Switzerland
*
Author to whom correspondence should be addressed.
Processes 2019, 7(10), 683; https://doi.org/10.3390/pr7100683
Received: 30 August 2019 / Revised: 20 September 2019 / Accepted: 23 September 2019 / Published: 1 October 2019
(This article belongs to the Special Issue Bioprocess Monitoring and Control)
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. View Full-Text
Keywords: Raman spectroscopy; downstream processing; chromatography; flow cell; extended Kalman filter Raman spectroscopy; downstream processing; chromatography; flow cell; extended Kalman filter
Show Figures

Figure 1

MDPI and ACS Style

Feidl, F.; Garbellini, S.; Luna, M.F.; Vogg, S.; Souquet, J.; Broly, H.; Morbidelli, M.; Butté, A. Combining Mechanistic Modeling and Raman Spectroscopy for Monitoring Antibody Chromatographic Purification. Processes 2019, 7, 683.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop