Crystallization process development : polymorphs and solid solutions

2007 ◽  
Author(s):  
Sze Wai Lin
Keyword(s):  
Solid Solutions ◽  
Crystallization Process ◽  
Process Development

Robust Crystallization Process Development for the Metastable δ-form of Pyrazinamide

2015 ◽  
Vol 19 (12) ◽  
pp. 1987-1996 ◽  
Author(s):  
Martin Wijaya Hermanto ◽  
Alvin Yeoh ◽  
Beatrice Soh ◽  
Pui Shan Chow ◽  
Reginald B. H. Tan
Keyword(s):  
Crystallization Process ◽  
Process Development

Crystallization Process Development for the Final Step of the Biocatalytic Synthesis of Islatravir: Comprehensive Crystal Engineering for a Low-Dose Drug

2021 ◽  
Vol 25 (2) ◽  
pp. 308-317
Author(s):  
Eric Sirota ◽  
Thomas Kwok ◽  
Richard J. Varsolona ◽  
Aaron Whittaker ◽  
Teresa Andreani ◽  
...  
Keyword(s):  
Crystal Engineering ◽  
Low Dose ◽  
Crystallization Process ◽  
Process Development

Rapid Crystallization Process Development Strategy from Lab to Industrial Scale with PAT Tools in Skid Configuration

2012 ◽  
Vol 16 (5) ◽  
pp. 769-780 ◽  
Author(s):  
Somnath S. Kadam ◽  
Jochem A. W. Vissers ◽  
Marco Forgione ◽  
Rob M. Geertman ◽  
Peter J. Daudey ◽  
...  
Keyword(s):  
Development Strategy ◽  
Crystallization Process ◽  
Process Development ◽  
Industrial Scale ◽  
Rapid Crystallization

Equilibrium Model of a Continuous Crystallization Process for Separation of Substances Exhibiting Solid Solutions

2012 ◽  
Vol 35 (6) ◽  
pp. 980-985 ◽  
Author(s):  
E. Temmel ◽  
U. Müller ◽  
D. Grawe ◽  
R. Eilers ◽  
H. Lorenz ◽  
...  
Keyword(s):  
Solid Solutions ◽  
Equilibrium Model ◽  
Crystallization Process ◽  
Continuous Crystallization

Quality by Design (QbD)-Based Crystallization Process Development for the Polymorphic Drug Tolbutamide

2011 ◽  
Vol 11 (7) ◽  
pp. 3027-3038 ◽  
Author(s):  
Satyanarayana Thirunahari ◽  
Pui Shan Chow ◽  
Reginald B. H. Tan
Keyword(s):  
Quality By Design ◽  
Crystallization Process ◽  
Process Development

scholarly journals A Thermodynamic Approach for the Prediction of Oiling Out Boundaries from Solubility Data

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 577 ◽  
Author(s):  
Bhamidi ◽  
Abolins
Keyword(s):  
Phase Separation ◽  
Liquid Phase ◽  
Crystallization Process ◽  
Process Development ◽  
Liquid Phase Separation ◽  
Solubility Data ◽  
Modeling Framework ◽  
Theoretical Concepts ◽  
Solvent Systems ◽  
Liquid Liquid Phase Separation

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.

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