Model-based optimal strategies for controlling particle size in antisolvent crystallization operations
Document Type
Article
Publication Date
8-1-2008
Abstract
In this paper, a model-based optimal strategy is presented for the control of particle size in antisolvent crystallization. Size is controlled on demand by dynamic optimization using a population balance based model. Knowledge of the ternary solute-solvent-antisolvent equilibrium and crystallization kinetics is crucial in this strategy, and these are thus incorporated in the model. The optimization is capable of determining the optimal antisolvent feed profile that achieves a desired particle size. Experimental validation of the strategy is carried out and presented herein. Such a strategy stands as a key solution to antisolvent operations ubiquitous in the pharmaceutical and fine chemicals industries. © 2008 American Chemical Society.
Publication Source (Journal or Book title)
Crystal Growth and Design
First Page
2698
Last Page
2706
Recommended Citation
Mostafa Nowee, S., Abbas, A., & Romagnoli, J. (2008). Model-based optimal strategies for controlling particle size in antisolvent crystallization operations. Crystal Growth and Design, 8 (8), 2698-2706. https://doi.org/10.1021/cg700720t