LAPSE:2019.1641v1
Published Article
LAPSE:2019.1641v1
Theoretical Analysis of Forced Segmented Temperature Gradients in Liquid Chromatography
December 16, 2019
An equilibrium model is applied to study the effect of forced temperature gradients introduced through heat exchange via specific segments of the wall of a chromatographic column operating with a liquid mobile phase. For illustration of the principle, the column is divided into two segments in such a manner that the first segment is kept at a fixed reference temperature, while the temperature of the second segment can be changed stepwise through fixed heating or cooling over the column wall to modulate the migration speeds of the solute concentration profiles. The method of characteristics is used to obtain the solution trajectories analytically. It is demonstrated that appropriate heating or cooling in the second segment can accelerate or decelerate the specific concentration profiles in order to improve certain performance criteria. The results obtained verify that the proposed analysis is well suited to evaluate the application of forced segmented temperature gradients. The suggested gradient procedure provides the potential to reduce the cycle time and, thus, improving the production rate of the chromatographic separation process compared to conventional isothermal (isocratic) operation.
Record ID
Keywords
cycle time, equilibrium model, external heating or cooling source, liquid chromatography, method of characteristics, periodic injection, production rate, temperature gradients
Subject
Suggested Citation
Hayat A, An X, Qamar S, Warnecke G, Seidel-Morgenstern A. Theoretical Analysis of Forced Segmented Temperature Gradients in Liquid Chromatography. (2019). LAPSE:2019.1641v1
Author Affiliations
Hayat A: Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; Institute of Analysis and Numerics, Otto von Guericke University, Universitätspl. 2, 39106 Magdeburg, Germany [ORCID]
An X: Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
Qamar S: Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; Department of Mathematics, COMSATS University Islamabad, Islamabad 45550, Pakistan [ORCID]
Warnecke G: Institute of Analysis and Numerics, Otto von Guericke University, Universitätspl. 2, 39106 Magdeburg, Germany
Seidel-Morgenstern A: Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; Institute of Process Engineering, Otto von Guericke University, Universitätspl. 2, 39106 Magdeburg, Germany
An X: Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany
Qamar S: Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; Department of Mathematics, COMSATS University Islamabad, Islamabad 45550, Pakistan [ORCID]
Warnecke G: Institute of Analysis and Numerics, Otto von Guericke University, Universitätspl. 2, 39106 Magdeburg, Germany
Seidel-Morgenstern A: Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, 39106 Magdeburg, Germany; Institute of Process Engineering, Otto von Guericke University, Universitätspl. 2, 39106 Magdeburg, Germany
Journal Name
Processes
Volume
7
Issue
11
Article Number
E846
Year
2019
Publication Date
2019-11-12
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7110846, Publication Type: Journal Article
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LAPSE:2019.1641v1
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doi:10.3390/pr7110846
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[v1] (Original Submission)
Dec 16, 2019
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Dec 16, 2019
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v1
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https://psecommunity.org/LAPSE:2019.1641v1
Original Submitter
Calvin Tsay
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