Crystallization from Solutions Containing Multiple Conformers. 2. Experimental Study and Model Validation

In this Article, the validity of a model derived for crystal growth rates and supersaturation for solids crystallized from solutions of materials containing multiple conformers is evaluated. A simple and straightforward method for determining crystal growth rates using FBRM and FTIR/ATR is utilized,...

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Published inCrystal growth & design Vol. 12; no. 11; pp. 5188 - 5196
Main Authors Derdour, L, Sivakumar, C, Skliar, D, Pack, S. K, Lai, C. J, Vernille, J. P, Kiang, S
Format Journal Article
LanguageEnglish
Published Washington,DC American Chemical Society 07.11.2012
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Abstract In this Article, the validity of a model derived for crystal growth rates and supersaturation for solids crystallized from solutions of materials containing multiple conformers is evaluated. A simple and straightforward method for determining crystal growth rates using FBRM and FTIR/ATR is utilized, which leads to a large amount of growth rate data from a single experiment. Supersaturation and crystal growth rate obtained experimentally were in good agreement with model predictions. In particular, data indicated that for the system at hand, crystal growth rate is inversely proportional to crystals size. Further, the solute integration coefficient determined from supersaturation measurements can be slightly overestimated due to surface nucleation and/or agglomeration that can result from supersaturation spikes during antisolvent addition. Last, crystal growth data obtained at different temperatures indicated that slow growth rate observed at low temperatures is likely to be due in part to surface poisoning by the wrong conformer.
AbstractList In this Article, the validity of a model derived for crystal growth rates and supersaturation for solids crystallized from solutions of materials containing multiple conformers is evaluated. A simple and straightforward method for determining crystal growth rates using FBRM and FTIR/ATR is utilized, which leads to a large amount of growth rate data from a single experiment. Supersaturation and crystal growth rate obtained experimentally were in good agreement with model predictions. In particular, data indicated that for the system at hand, crystal growth rate is inversely proportional to crystals size. Further, the solute integration coefficient determined from supersaturation measurements can be slightly overestimated due to surface nucleation and/or agglomeration that can result from supersaturation spikes during antisolvent addition. Last, crystal growth data obtained at different temperatures indicated that slow growth rate observed at low temperatures is likely to be due in part to surface poisoning by the wrong conformer.
Author Lai, C. J
Derdour, L
Kiang, S
Sivakumar, C
Skliar, D
Pack, S. K
Vernille, J. P
AuthorAffiliation Drug Product Science and Technology
Carnegie Mellon University
Bristol-Myers Squibb
Chemical Development
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Issue 11
Keywords Crystal growth
Temperature dependence
Fourier transform spectroscopy
Nucleation
Solid solutions
Growth rate
Solution crystallization
Attenuated total reflection
Experimental study
Language English
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Snippet In this Article, the validity of a model derived for crystal growth rates and supersaturation for solids crystallized from solutions of materials containing...
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SubjectTerms Condensed matter: structure, mechanical and thermal properties
Cross-disciplinary physics: materials science; rheology
Crystalline state (including molecular motions in solids)
Crystallographic aspects of phase transformations; pressure effects
Equations of state, phase equilibria, and phase transitions
Exact sciences and technology
General studies of phase transitions
Materials science
Methods of crystal growth; physics of crystal growth
Nucleation
Physics
Structure of solids and liquids; crystallography
Theory and models of crystal growth; physics of crystal growth, crystal morphology and orientation
Title Crystallization from Solutions Containing Multiple Conformers. 2. Experimental Study and Model Validation
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