ArticleAnalytical and bioanalytical chemistry2023
Monitoring of ultra- and diafiltration processes by Kalman-filtered Raman measurements.
Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Applying Raman Spectroscopy for Real-Time Monitoring of Ultra- and Diafiltration Steps in Viral Vector Purification.Pharmaceutics · 2026Article
- Online Raman spectroscopy-guided strategy for efficient production of DNA recombinase UvsX in Escherichia coli.Analytical and bioanalytical chemistry · 2026Article
- Adaptive Multi-Order Penalty and Dual-Driven Weighting: aisPLS Algorithm for Raman Baseline Correction with Weak Peak Preservation.Molecules (Basel, Switzerland) · 2026Article
- A Review on Quantitative Process Analytical Technology for Continuous Downstream Processing of Monoclonal Antibodies.Biotechnology and bioengineering · 2026Review
- Advancing Raman Calibration: Automated Data Generation, Monitoring, and Control in Multi-Parallel Perfusion Mini Bioreactors.Biotechnology journal · 2026Article
- A Novel Raman-Chromatography Assembly for Automated Calibration and In-Line Monitoring in Bioprocessing.Engineering in life sciences · 2025Article
- Raman-based PAT for multi-attribute monitoring during VLP recovery by dual-stage CFF: attribute-specific spectral preprocessing for model transfer.Frontiers in bioengineering and biotechnology · 2025Article
- Raman-based PAT for VLP precipitation: systematic data diversification and preprocessing pipeline identification.Frontiers in bioengineering and biotechnology · 2024Article
- Generative data augmentation and automated optimization of convolutional neural networks for process monitoring.Frontiers in bioengineering and biotechnology · 2024Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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