LAPSE:2019.1166
Published Article
LAPSE:2019.1166
A Thermodynamic Approach for the Prediction of Oiling Out Boundaries from Solubility Data
November 24, 2019
Many pharmaceutical molecules, fine chemicals, and proteins exhibit liquid−liquid phase separation (LLPS, also known as oiling out) during solution crystallization. LLPS is of significant concern in crystallization process development, as oiling out can compromise the effectiveness of a crystallization and can lead to operational problems. A comprehensive methodology that allows a process scientist/engineer to characterize the various phase boundaries relevant to oiling out is currently lacking. In this work, we present a modeling framework useful in predicting the binodal, spinodal, and gelation boundaries starting from the solubility data of a solute that is prone to oiling out. We collate the necessary theoretical concepts from the literature and describe a unified approach to model the phase equilibria of solute−solvent systems from first principles. The modeling effort is validated using experimental data reported in the literature for various solute−solvent systems. The predictive methods presented in this work can be easily implemented and help a process engineer establish the design space for a crystallization process that is affected by liquid−liquid phase separation.
Record ID
Keywords
binodal, gel boundary, liquid–liquid phase separation, LLPS, oiling out, phase diagram prediction, phase diagrams, prediction of oiling out, spinodal
Subject
Suggested Citation
Bhamidi V, Abolins BP. A Thermodynamic Approach for the Prediction of Oiling Out Boundaries from Solubility Data. (2019). LAPSE:2019.1166
Author Affiliations
Journal Name
Processes
Volume
7
Issue
9
Article Number
E577
Year
2019
Publication Date
2019-09-01
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7090577, Publication Type: Journal Article
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Published Article
LAPSE:2019.1166
This Record
External Link
doi:10.3390/pr7090577
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Version History
[v1] (Original Submission)
Nov 24, 2019
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Nov 24, 2019
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v1
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URL Here
https://psecommunity.org/LAPSE:2019.1166
Original Submitter
Calvin Tsay
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