Grouping solvents by statistical analysis of solvent property parameters: implication to polymorph screening

被引:365
作者
Gu, CH
Li, H
Gandhi, RB
Raghavan, K
机构
[1] Bristol Myers Squibb Co, Biopharmaceut R&D, New Brunswick, NJ USA
[2] Bristol Myers Squibb Co, Nonclin Stat, New Brunswick, NJ USA
关键词
cluster analysis; polymorph screening; solvent group; solvent parameter;
D O I
10.1016/j.ijpharm.2004.06.021
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The success rate of discovering new polymorphs by crystallization from solution may be increased if solvents with diverse properties are used during initial polymorph screening. In this study, eight solvent parameters, including hydrogen bond acceptor propensity, hydrogen bond donor propensity, polarity/dipolarity, dipole moment, dielectric constant, viscosity, surface tension and cohesive energy density (equal to square of solubility parameter), of 96 solvents were collected. Using the cluster statistical analysis of the parameters, these 96 solvents were separated into 15 solvent groups. Such solvent groups may provide guidelines for the judicious choice of solvents with diverse properties for polymorph screening. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:117 / 125
页数:9
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