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Massachusetts Institute of Technology

Computer-aided rational solvent selection for pharmaceutical crystallization

Abstract

dc:description.abstract

Solvents play an important role in crystallization, a commonly used separation and purification technique in the pharmaceutical, chemical and food industries. They affect crystal properties such as particle size distribution, morphology, polymorphism etc. and therefore have consequences for the downstream processing of the solid material. Current solvent selection techniques for solution crystallization remain ad hoc and typically do not have a theoretical underpinning. Elucidation of the interactions between solvent and solute molecules and the mechanism underlying the solvent effects on each aspect of the crystal properties would be a major aid for the rational selection of solvents and also the development of crystallization processes. In this work we studied the effect of solvent on the polymorphism and morphology of organic crystals using molecular modeling techniques. The two most important contributions of this thesis are listed below. 1. We studied the self-assembly of solute molecules in solutions prior to nucleation for two polymorphic systems, tetrolic acid and glycine, using molecular dynamics simulations. We tested the existence of a link between the structure of the clusters formed in solution and the polymorphism of the crystals. Our results show that the link hypothesis succeeds in explaining the polymorph selection of tetrolic acid from different solvents. However it fails for glycine and thus should be used with caution. 2. We designed a computer-aided rational solvent selection procedure for improving the morphology of needle-like 2,6-dihydroxybenzoic acid form 2 crystal. We also experimentally grew 2,6-dihydroxybenzoic acid form 2 crystals using the solvent mixture suggested by computer simulations, which do exhibit reduced aspect ratios. This computer-aided selection procedure can not only quickly identify an effective solvent or solvent mixture, but also provide mechanistic understandings of the underlying chemistry. It can also be extended to improve the morphology of other needle-like organic crystals easily.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Chemical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chen, Jie, Ph. D. Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • Bernhardt L. Trout.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/59874
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/59874

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
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citation

Chen, Jie, Ph. D. Massachusetts Institute of Technology. Computer-aided rational solvent selection for pharmaceutical crystallization. Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59874