Classifying organic crystals via in-process image analysis and the use of monitoring charts to follow polymorphic and morphological changes

被引:97
作者
De Anda, JC [1 ]
Wang, XZ [1 ]
Lai, X [1 ]
Roberts, KJ [1 ]
机构
[1] Univ Leeds, Dept Chem Engn, Inst Particle Sci & Engn, Leeds LS2 9JT, W Yorkshire, England
基金
英国工程与自然科学研究理事会;
关键词
on-line imaging; image analysis; process monitoring; crystallisation; crystal shape; crystal polymorphs; crystal morphology; crystal habit; (L)-glutamic acid;
D O I
10.1016/j.jprocont.2005.02.002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The polymorphic and morphological forms, and growth rates of different crystal facets are important parameters in pharmaceutical crystallisation processes that call for techniques for their real-time monitoring. In this paper, we describe a method for real-time classification of crystal polymorphic and morphological forms based on on-line imaging and image analysis. The focus of discussion is on deriving quantitative shape descriptors from images obtained on-line in real-time, automatic classification of crystals, the estimation of ratios of different polymorphs and new monitoring charts showing the relative average growth rates of facets of crystals. The work presented is based on experimental results of crystallisation in a batch reactor of (L)-glutamic acid that has two polymorphs, the prismatic alpha and needle-shaped beta forms. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:785 / 797
页数:13
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