Literature DB >> 31207168

Scale-down model qualification of ambr® 250 high-throughput mini-bioreactor system for two commercial-scale mAb processes.

Matthew Manahan1, Michael Nelson1, Jonathan J Cacciatore2, Jessica Weng2, Sen Xu1, Jennifer Pollard1.   

Abstract

Recent advances in high-throughput (HTP) automated mini-bioreactor systems have significantly improved development timelines for early-stage biologic programs. Automated platforms such as the ambr® 250 have demonstrated the ability, using appropriate scale-down approaches, to provide reliable estimates of process performance and product quality from bench to pilot scale, but data sets comparing to large-scale commercial processes (>10,000 L) are limited. As development moves toward late stages, specifically process characterization (PC), a qualified scale-down model (SDM) of the commercial process is a regulatory requirement as part of Biologics License Application (BLA)-enabling activities. This work demonstrates the qualification of the ambr® 250 as a representative SDM for two monoclonal antibody (mAb) commercial processes at scales >10,000 L. Representative process performance and product quality associated with each mAb were achieved using appropriate scale-down approaches, and special attention was paid to pCO2 to ensure consistent performance and product quality. Principal component analysis (PCA) and univariate equivalence testing were utilized in the qualification of the SDM, along with a statistical evaluation of process performance and product-quality attributes for comparability. The ambr® 250 can predict these two commercial-scale processes (at center-point condition) for cell-culture performance and product quality. The time savings and resource advantages to performing PC studies in a small-scale HTP system improves the potential for the biopharmaceutical industry to get products to patients more quickly.
© 2019 American Institute of Chemical Engineers.

Entities:  

Keywords:  cell culture; high throughput (HTP); oxygen transfer; process characterization (PC); scale-down model (SDM)

Mesh:

Substances:

Year:  2019        PMID: 31207168     DOI: 10.1002/btpr.2870

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  6 in total

Review 1.  Recent Developments in Bioprocessing of Recombinant Proteins: Expression Hosts and Process Development.

Authors:  Nagesh K Tripathi; Ambuj Shrivastava
Journal:  Front Bioeng Biotechnol       Date:  2019-12-20

2.  Use of ambr®250 to assess mucic acid production in fed-batch cultures of a marine Trichoderma sp. D-221704.

Authors:  Anu Tamminen; Rosaliina Turunen; Dorothee Barth; Virve Vidgren; Marilyn G Wiebe
Journal:  AMB Express       Date:  2022-07-13       Impact factor: 4.126

3.  Automated Data Generation for Raman Spectroscopy Calibrations in Multi-Parallel Mini Bioreactors.

Authors:  Alexander Graf; Angus Woodhams; Michael Nelson; Douglas D Richardson; Steven M Short; Mark Brower; Marek Hoehse
Journal:  Sensors (Basel)       Date:  2022-04-28       Impact factor: 3.847

4.  When Is an In Silico Representation a Digital Twin? A Biopharmaceutical Industry Approach to the Digital Twin Concept.

Authors:  Rui M C Portela; Christos Varsakelis; Anne Richelle; Nikolaos Giannelos; Julia Pence; Sandrine Dessoy; Moritz von Stosch
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

Review 5.  A decade in review: use of data analytics within the biopharmaceutical sector.

Authors:  Matthew Banner; Haneen Alosert; Christopher Spencer; Matthew Cheeks; Suzanne S Farid; Michael Thomas; Stephen Goldrick
Journal:  Curr Opin Chem Eng       Date:  2021-12       Impact factor: 5.163

Review 6.  Debaryomyces hansenii: an old acquaintance for a fresh start in the era of the green biotechnology.

Authors:  Clara Navarrete; Mònica Estrada; José L Martínez
Journal:  World J Microbiol Biotechnol       Date:  2022-04-28       Impact factor: 4.253

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.