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Monitoring of ultra- and diafiltration processes by Kalman-filtered Raman measurements

Authors :
Laura Rolinger
Jürgen Hubbuch
Matthias Rüdt
Source :
Analytical and Bioanalytical Chemistry, 415 (5), 841–854
Publication Year :
2023
Publisher :
Springer Verlag, 2023.

Abstract

Monitoring the protein concentration and buffer composition during the Ultrafiltration/Diafiltration (UF/DF) step enables the further automation of biopharmaceutical production and supports Real-time Release Testing (RTRT). Previously, in-line Ultraviolet (UV) and Infrared (IR) measurements have been used to successfully monitor the protein concentration over a large range. The progress of the diafiltration step has been monitored with density measurements and Infrared Spectroscopy (IR). Raman spectroscopy is capable of measuring both the protein and excipient concentration while being more robust and suitable for production measurements in comparison to Infrared Spectroscopy (IR). Regardless of the spectroscopic sensor used, the low concentration of excipients poses a challenge for the sensors. By combining sensor measurements with a semi-mechanistic model through an Extended Kalman Filter (EKF), the sensitivity to determine the progress of the diafiltration can be improved. In this study, Raman measurements are combined with an EKF for three case studies. The advantages of Kalman-filtered Raman measurements for excipient monitoring are shown in comparison to density measurements. Furthermore, Raman measurements showed a higher measurement speed in comparison to Variable Pathlength (VP) UV measurement at the trade-off of a slightly worse prediction accuracy for the protein concentration. However, the Raman-based protein concentration measurements relied mostly on an increase in the background signal during the process and not on proteinaceous features, which could pose a challenge due to the potential influence of batch variability on the background signal. Overall, the combination of Raman spectroscopy and EKF is a promising tool for monitoring the UF/DF step and enables process automation by using adaptive process control.

Details

Language :
English
ISSN :
16182642, 00161152, 03727920, 09370633, 14321130, and 16182650
Database :
OpenAIRE
Journal :
Analytical and Bioanalytical Chemistry, 415 (5), 841–854
Accession number :
edsair.doi.dedup.....e03b45a9fb881ad3fba84c42c2297545
Full Text :
https://doi.org/10.5445/ir/1000155726