LAPSE:2020.0156
Published Article
LAPSE:2020.0156
Accelerating Biologics Manufacturing by Modeling: Process Integration of Precipitation in mAb Downstream Processing
Lara Julia Lohmann, Jochen Strube
February 3, 2020
The demand on biologics has been constantly rising over the past decades and has become crucial in modern medicine. Promising approaches to cope with widespread diseases like cancer and diabetes are gene therapy, plasmid DNA, virus-like particles, and exosomes. Due to progress that has been made in upstream processing (USP), difficulties arise in downstream processing and demand for innovative solutions. This work focuses on the integration of precipitation using a quality by design (QbD) approach for process development. Selective precipitation is achieved with PEG 4000 resulting in an HCP depletion of ≥80% respectively to IgG. Dissolution was executed with a sodium phosphate buffer (pH = 5/50 mM) reaching an IgG recovery of ≥95%. However, the central challenge in process development is still an optimal process design, which is transferable for a broad molecular variety of new products. This is where rigorous modeling becomes vital in order to generate digital twins to support early-stage process development and reduce the experimental overhead. Therefore, a model development and validation concept for construction of a process model for precipitation is also presented.
Keywords
antibodies, biologics manufacturing, PAT, precipitation, process modeling, QbD
Suggested Citation
Lohmann LJ, Strube J. Accelerating Biologics Manufacturing by Modeling: Process Integration of Precipitation in mAb Downstream Processing. (2020). LAPSE:2020.0156
Author Affiliations
Lohmann LJ: Institute for Separation and Process Technology, Clausthal University of Technology, Leibnizstraße 15, 38678 Clausthal-Zellerfeld, Germany [ORCID]
Strube J: Institute for Separation and Process Technology, Clausthal University of Technology, Leibnizstraße 15, 38678 Clausthal-Zellerfeld, Germany
Journal Name
Processes
Volume
8
Issue
1
Article Number
E58
Year
2020
Publication Date
2020-01-02
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8010058, Publication Type: Journal Article
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LAPSE:2020.0156
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doi:10.3390/pr8010058
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Feb 3, 2020
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Calvin Tsay
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