Effect of the solubility model on antisolvent crystallization predicted volume mean size

Document Type

Conference Proceeding

Publication Date

1-1-2009

Abstract

The use of predictive solubility models can be of great use for crystallization modelling, and can decrease the amount of experimental data needed to create a robust crystallization model. Predictive solubility models such as MOSCED, UNIFAC, NRTLSAC, and the Jouyban-Acree model are compared against an empirical model for predicted solubility accuracy. The best models are subsequently compared against the empirical model for the antisolvent crystallization of acetaminophen in acetone using water. The effect of these solubility models on the predicted relative supersaturation and volume mean size profiles are investigated. Copyright © 2009, AIDIC Servizi S.r.l.

Publication Source (Journal or Book title)

Chemical Engineering Transactions

First Page

639

Last Page

644

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