Digital Design of the Crystallization of an Active Pharmaceutical Ingredient Using a Population Balance Model with a Novel Size Dependent Growth Rate Expression. From Development of a Digital Twin to In Silico Optimization and Experimental Validation
Author:
Affiliation:
1. Davidson School of Chemical Engineering, Purdue University, 610 Purdue Mall, West Lafayette, Indiana 47907, United States
2. Takeda Pharmaceuticals International Company, 35 Landsdowne Street, Cambridge, Massachusetts 02139, United States
Funder
Takeda Pharmaceutical Company
Publisher
American Chemical Society (ACS)
Subject
Condensed Matter Physics,General Materials Science,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.cgd.1c01108
Reference52 articles.
1. Batch crystallization
2. Application of Process Analytical Technology-Based Feedback Control Strategies To Improve Purity and Size Distribution in Biopharmaceutical Crystallization
3. First-principles and direct design approaches for the control of pharmaceutical crystallization
4. Development and Scale-Up of a Crystallization Process To Improve an API’s Physiochemical and Bulk Powder Properties
5. Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review
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