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Impact of adsorption isotherm parameters on the performances of enantioseparation using simulated moving bed chromatography

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

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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;

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Citation

Kaspereit, M., Jandera, P., Skavrada, M., & Seidel-Morgenstern, A. (2002). Impact of adsorption isotherm parameters on the performances of enantioseparation using simulated moving bed chromatography. Journal of Chromatography A, 944(1-2), 249-262. doi:10.1016/S0021-9673(01)01341-3.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-A0AD-0
Abstract
Often there are several chromatographic systems, i.e., combinations of mobile and stationary phases, available to solve a certain separation problem. Essential differences of these chromatographic systems are the separation factors and the efficiencies. For preparative applications in addition also the column saturation capacities and solubility limits are of importance. The impact of all these parameters appears to be rather well understood for conventional overloaded elution chromatography using a single column. In the last years the continuous simulated moving bed (SMB) process was increasingly used as a powerful alternative to batch elution since increased productivities and reduced solvent consumptions could be realised. However, the selection of suitable chromatographic systems is more, sophisticated for this process. In this paper five different chromatographic systems capable of separating the enantiomers of mandelic acid are compared based on the achievable productivities using SMB chromatography. For these five systems the adsorption isotherms have been determined experimentally. Subsequently, an analysis of the SMB process was performed numerically using a well-established model. (C) 2002 Elsevier Science B.V. All rights reserved.