LAPSE:2023.2874
Published Article

LAPSE:2023.2874
Modern Sensor Tools and Techniques for Monitoring, Controlling, and Improving Cell Culture Processes
February 21, 2023
Abstract
The growing biopharmaceutical industry has reached a level of maturity that allows for the monitoring of numerous key variables for both process characterization and outcome predictions. Sensors were historically used in order to maintain an optimal environment within the reactor to optimize process performance. However, technological innovation has pushed towards on-line in situ continuous monitoring of quality attributes that could previously only be estimated off-line. These new sensing technologies when coupled with software models have shown promise for unique fingerprinting, smart process control, outcome improvement, and prediction. All this can be done without requiring invasive sampling or intervention on the system. In this paper, the state-of-the-art sensing technologies and their applications in the context of cell culture monitoring are reviewed with emphasis on the coming push towards industry 4.0 and smart manufacturing within the biopharmaceutical sector. Additionally, perspectives as to how this can be leveraged to improve both understanding and outcomes of cell culture processes are discussed.
The growing biopharmaceutical industry has reached a level of maturity that allows for the monitoring of numerous key variables for both process characterization and outcome predictions. Sensors were historically used in order to maintain an optimal environment within the reactor to optimize process performance. However, technological innovation has pushed towards on-line in situ continuous monitoring of quality attributes that could previously only be estimated off-line. These new sensing technologies when coupled with software models have shown promise for unique fingerprinting, smart process control, outcome improvement, and prediction. All this can be done without requiring invasive sampling or intervention on the system. In this paper, the state-of-the-art sensing technologies and their applications in the context of cell culture monitoring are reviewed with emphasis on the coming push towards industry 4.0 and smart manufacturing within the biopharmaceutical sector. Additionally, perspectives as to how this can be leveraged to improve both understanding and outcomes of cell culture processes are discussed.
Record ID
Keywords
bioprocess, cell culture, monitoring, PAT, sensors, smart biomanufacturing, soft-sensor, spectroscopy
Subject
Suggested Citation
Reyes SJ, Durocher Y, Pham PL, Henry O. Modern Sensor Tools and Techniques for Monitoring, Controlling, and Improving Cell Culture Processes. (2023). LAPSE:2023.2874
Author Affiliations
Reyes SJ: Department of Chemical Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada; Human Health Therapeutics Research Center, National Research Council of Canada, Montreal, QC H4P 2R2, Canada
Durocher Y: Human Health Therapeutics Research Center, National Research Council of Canada, Montreal, QC H4P 2R2, Canada; Department of Biochemistry and Molecular Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada [ORCID]
Pham PL: Human Health Therapeutics Research Center, National Research Council of Canada, Montreal, QC H4P 2R2, Canada [ORCID]
Henry O: Department of Chemical Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada
Durocher Y: Human Health Therapeutics Research Center, National Research Council of Canada, Montreal, QC H4P 2R2, Canada; Department of Biochemistry and Molecular Medicine, University of Montreal, Montreal, QC H3T 1J4, Canada [ORCID]
Pham PL: Human Health Therapeutics Research Center, National Research Council of Canada, Montreal, QC H4P 2R2, Canada [ORCID]
Henry O: Department of Chemical Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada
Journal Name
Processes
Volume
10
Issue
2
First Page
189
Year
2022
Publication Date
2022-01-18
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10020189, Publication Type: Review
Record Map
Published Article

LAPSE:2023.2874
This Record
External Link

https://doi.org/10.3390/pr10020189
Publisher Version
Download
Meta
Record Statistics
Record Views
226
Version History
[v1] (Original Submission)
Feb 21, 2023
Verified by curator on
Feb 21, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.2874
Record Owner
Auto Uploader for LAPSE
Links to Related Works
(0.32 seconds) 0.02 + 0.03 + 0.15 + 0.05 + 0 + 0.02 + 0.01 + 0 + 0.01 + 0.03 + 0 + 0
