An NIR‐Based PAT Approach for Real‐Time Control of Loading in Protein A Chromatography in Continuous Manufacturing of Monoclonal Antibodies
Abstract
Control of column loading in Protein A chromatography is a crucial part of development of robust and flexible process platforms for continuous production of monoclonal antibody (mAb) products. In this paper, we propose a control system that uses near infrared spectroscopy (NIRS) flow cells to accomplish the above. Two applications have been demonstrated using a periodic counter‐current continuous chromatography setup. The first application involves use of single NIR flow cell before the inlet of the loading column to measure the concentration of mAb in the harvested broth. Measurement was in real‐time (every 3 s) and within ±0.05 mg/ml, significantly better than making UV‐based concentration estimations. The second application involved use of an additional NIR flow cell at the outlet of the loading column to measure column breakthrough in real time. The concentration data was transferred to a Python‐based monitoring and control algorithm layered over a Cadence BioSMB system. The program could successfully run a three‐column periodic counter current method on the BioSMB whereas controlling loading to ensure optimal resin utilization in each loading cycle phase based on precharacterized dynamic binding capacity models, whereas maintaining periodic elutions. The system was tested with multiple perturbations in harvest concentration, modeled after deviations that could arise downstream of a perfusion cell culture system. The results show that the proposed control is a spectroscopy‐based process analytical technology tool that facilitates real time monitoring and control of loading in process chromatography. It is adaptable to any continuous chromatography equipment and is very well suited for implementation in a continuous mAb production train.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
FT-NIR has been used for on-line monitoring of column loading in Protein A chromatography, measuring target product concentration in harvested broth and column effluent every 3 s and detecting column breakthrough with high accuracy.
“Thakur et al. monitored the column loading using an on‐line FT‐NIR setup, where the target product concentration in both the harvested broth and column effluent from Protein A chromatography was measured in real time, for every 3 s and column breakthrough was detected successfully with high accuracy [63].”
From Current PAT Landscape in the Downstream Processing of Biopharmaceuticals (2025) · cites this paper as [63]
Cited by
Sorted by citations
Goldrick, S., Umprecht, A., Tang, A., Zakrzewski, R., Cheeks, M., Turner, R., Charles, A., Les, K., Hulley, M., Spencer, C., et al. (2020) · Processes · doi:10.3390/pr8091179 · Cited by 48 · see citing works
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
Continuous integrated manufacturing for biopharmaceuticals: A new paradigm or an empty promise?
Rathore, A. S., Thakur, G., & Kateja, N. (2023) · Biotechnology and Bioengineering · doi:10.1002/bit.28235 · Cited by 41 · see citing works
Self-citation
- Authors
- Thakur, G., Hebbi, V., & Rathore, A. S.
- Affiliations
- Department of Chemical Engineering Indian Institute of Technology New Delhi India
- ORCID
- Rathore, Anurag S.
- Venue
- Biotechnology and Bioengineering
- Publisher
- Wiley
- Published
- 2019-12-11
- Volume
- 117
- Issue
- 3
- Pages
- 673-686
- ISSN
- 0006-3592
- 1097-0290
- Cited by
- 62
- References
- 0
- Language
- en
- Funders
- Department of Biotechnology , Ministry of Science and Technology (BT/COE/34/SP15097/2015)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review