Optimal Operation of Enantioseparation by Batch-Wise Preferential 
Crystallization

Angelov, I.; Raisch, J.; Elsner, M. P.; Seidel-Morgenstern, A.

doi:10.1016/j.ces.2007.07.023

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Optimal Operation of Enantioseparation by Batch-Wise Preferential Crystallization

MPS-Authors

/persons/resource/persons86141

Angelov, I.
Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86212

Raisch, J.
Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
TU Berlin;

/persons/resource/persons86282

Elsner, M. P.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86477

Seidel-Morgenstern, A.
Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Angelov, I., Raisch, J., Elsner, M. P., & Seidel-Morgenstern, A. (2008). Optimal Operation of Enantioseparation by Batch-Wise Preferential Crystallization. Chemical Engineering Science, 63(5), 1282-1292. doi:10.1016/j.ces.2007.07.023.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-95DF-E

Abstract

This article describes batch-wise preferential crystallization separation of mixtures of L- and D- threonine. Use of online polarimetry combined with refractometry and microscopic investigation of the solid phase provides information on the crystallization kinetics. Results obtained for different crystallization conditions (supersaturation, temperature and enantiomeric excess) in a batch crystallizer are presented. Based on these results, a nonlinear dynamic model has been developed. The control problem is to determine an optimal temperature profile which will result in a maximum amount of product with required quality. In this dynamic optimization problem B-splines have been used for interpolation of the temperature profile. Copyright © 2007 Elsevier Ltd All rights reserved. [accessed June 6, 2008]