In‐Line Monitoring of Protein Concentration With MIR Spectroscopy During UFDF
Abstract
Rapid increase of product titers in upstream processes has presented challenges for downstream processing, where purification costs increase linearly with the increase of the product yield. Hence, innovative solutions are becoming increasingly popular. Process Analytical Technology (PAT) tools, such as spectroscopic techniques, are on the rise due to their capacity to provide real‐time, precise analytics. This ensures consistent product quality and increased process understanding, as well as process control. Mid‐infrared spectroscopy (MIR) has emerged as a highly promising technique within recent years, owing to its ability to monitor several critical process parameters at the same time and unchallenging spectral analysis and data interpretation. For in‐line monitoring, Attenuated Total Reflectance—Fourier Transform Infrared Spectroscopy (ATR‐FTIR) is a method of choice, as it enables reliable measurements in a liquid environment, even though water absorption bands are present in the region of interest. Here, we present MIR spectroscopy as a monitoring tool of critical process parameters in ultrafiltration/diafiltration (UFDF). MIR spectrometer was integrated in the UFDF process in an in‐line fashion through a single‐use flow cell containing a single bounce silicon ATR crystal. The results indicate that the one‐point calibration algorithm applied to the MIR spectra, predicts highly accurate protein concentrations, as compared with validated offline analytical methods.
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ATR-FTIR has been implemented in-line during the UFDF step to monitor protein concentration with a simple one-point calibration algorithm or both protein and various excipient concentrations with a multivariate data analysis model.
“Recently, ATR‐FTIR has also been implemented in‐line during the UFDF step, to monitor the protein concentration with a simple one‐point calibration algorithm [55] or both protein and various excipient concentrations, with a multi‐variate data analysis (MVDA) model [56].”
From Current PAT Landscape in the Downstream Processing of Biopharmaceuticals (2025) · cites this paper as [55]
In ATR-FTIR monitoring during UFDF, rapid measurements in seconds and accurate concentration predictions were achieved.
“In both cases, rapid measurements in seconds and accurate concentration predictions were achieved.”
From Current PAT Landscape in the Downstream Processing of Biopharmaceuticals (2025) · cites this paper as [55]
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Cites
Effective Path Length in Attenuated Total Reflection Spectroscopy
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Cited by
Sorted by citations
Current PAT Landscape in the Downstream Processing of Biopharmaceuticals
Sathiyapriyan, P., Mukherjee, S., Vogel, T., Essen, L., Boerema, D., Vey, M., & Kalina, U. (2025) · Analytical Science Advances · doi:10.1002/ansa.70013 · Cited by 45 · see citing works
Mishra, A., Aghaee, M., Tamer, I. M., & Budman, H. (2025) · Spectroscopy Journal · doi:10.3390/spectroscj3020012 · Cited by 19 · see citing works
- Authors
- Milewska, A., Baekelandt, G., Boutaieb, S., Mozin, V., & Falconbridge, A.
- Affiliations
- Alvotech Reykjavík Iceland
- IRUBIS GmbH München Germany
- Venue
- Engineering in Life Sciences
- Publisher
- Wiley
- Published
- 2022-12-23
- Volume
- 23
- Issue
- 2
- ISSN
- 1618-0240
- 1618-2863
- PMC
- PMC9893749
- Cited by
- 17
- References
- 1
- Language
- en
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