Optimization of a mAb production process with regard to robustness and product quality using quality by design principles

  • Quality by Design principles are well described and widely used in biopharmaceutical industry. The characterization of a monoclonal antibody (mAb) production process is crucial for novel process development and control. Yet, the application throughout the entire upstream process was rarely demonstrated. Following previously published research, this study marks the second step toward a complete process characterization and is focused on the effect of critical process parameters on the antibody production efficiency and quality of the process. In order to conduct the complex Design of Experiments approach with optimal control and comparability, the ambr®15 micro bioreactor platform was used. Investigated parameters included the pH and dissolved oxygen set points, the initial viable cell density (iVCD) as well as the N-1 duration. Various quality attributes (e.g., growth rate, viability, mAb titer, and peak proportion) were monitored and analyzed using multivariate data analysis toQuality by Design principles are well described and widely used in biopharmaceutical industry. The characterization of a monoclonal antibody (mAb) production process is crucial for novel process development and control. Yet, the application throughout the entire upstream process was rarely demonstrated. Following previously published research, this study marks the second step toward a complete process characterization and is focused on the effect of critical process parameters on the antibody production efficiency and quality of the process. In order to conduct the complex Design of Experiments approach with optimal control and comparability, the ambr®15 micro bioreactor platform was used. Investigated parameters included the pH and dissolved oxygen set points, the initial viable cell density (iVCD) as well as the N-1 duration. Various quality attributes (e.g., growth rate, viability, mAb titer, and peak proportion) were monitored and analyzed using multivariate data analysis to evaluate the parameter effects. The pH set point and the initial VCD were identified as key process parameters with strong influence on the cell growth as well as the mAb production and its proportion to the total protein concentration. For optimization and improvement in robustness of these quality attributes the pH must be increased to 7.2, while the iVCD must be lowered to 0.2 × 106 cells/mL. Based on the defined design space, additional experiments verified the results and confirmed the intact bioactivity of the antibody. Thereby, process control strategies could be tuned toward high cell maintenance and mAb production, which enable optimal downstream processing.show moreshow less

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Metadaten
Author:Ole Jacob Wohlenberg, Carlotta Kortmann, Katharina V. MeyerORCiDGND, Jana Schellenberg, Katharina Dahlmann, Janina BahnemannORCiDGND, Thomas Scheper, Dörte Solle
URN:urn:nbn:de:bvb:384-opus4-1094636
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/109463
ISSN:1618-0240OPAC
ISSN:1618-2863OPAC
Parent Title (English):Engineering in Life Sciences
Publisher:Wiley
Type:Article
Language:English
Year of first Publication:2022
Publishing Institution:Universität Augsburg
Release Date:2023/11/24
Tag:Bioengineering; Environmental Engineering; Biotechnology
Volume:22
Issue:7
First Page:484
Last Page:494
DOI:https://doi.org/10.1002/elsc.202100172
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Physik
Medizinische Fakultät
Medizinische Fakultät / Professur für Physiologie (Meissner)
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Physik / Professur für Biologie mit der Ausrichtung auf chipbasierte sensorische und analytische Methoden
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)