Computational prediction of blend time in a large‐scale viral inactivation process for monoclonal antibodies biomanufacturing-Reference-Cited by-同舟云学术

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Computational prediction of blend time in a large‐scale viral inactivation process for monoclonal antibodies biomanufacturing

Published:2022-10-26 Issue:1 Volume:120 Page:169-183
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotech & Bioengineering

Author:

Sirasitthichoke Chadakarn¹²^ORCID,Hoang Duc¹³^ORCID,Phalak Poonam¹,Armenante Piero M.²,Barnoon Barak I.¹,Shandil Ishaan¹

Affiliation:

1. Department of Manufacturing Science and Technology Bristol Myers Squibb Company Devens Massachusetts USA

2. Otto H. York Department of Chemical and Materials Engineering New Jersey Institute of Technology Newark New Jersey USA

3. Department of Chemical Engineering University of Massachusetts Lowell Lowell Massachusetts USA

Funder

Bristol-Myers Squibb

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.28264

Reference51 articles.

1. Experimental and modeling evaluation of droplet size in immiscible liquid-liquid stirred vessel using various impeller designs

2. Macromixing study for various designs of impellers in a stirred vessel

3. Lattice Boltzmann simulations for multi-scale chemical engineering

4. Structure and transport in the microemulsion phase of the system Triton X-100-toluene-water

5. Presence and transcription of intracisternal A-particle-related sequences in CHO cells

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A model-based performance analysis of integrated chromatography-ultrafilter separation systems for monoclonal antibody (mAb) manufacturing;Biochemical Engineering Journal;2024-06

2. Multi-objective optimisation of an integrated cultivation-aggregation model for mAb production;Computer Aided Chemical Engineering;2024

3. Experimental determination and computational prediction of blend time in the USP dissolution testing Apparatus 1;Chemical Engineering Research and Design;2023-06

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