Academic Journal

Efficient Computer Simulation of Simulated Moving Bed Chromatographic Processes with Negligible Axial Dispersion, Linear and Nonlinear Noncompetitive Adsorption Isotherms.

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Title: Efficient Computer Simulation of Simulated Moving Bed Chromatographic Processes with Negligible Axial Dispersion, Linear and Nonlinear Noncompetitive Adsorption Isotherms.
Authors: Pishkari, Rojiar, Kienle, Achim
Source: Processes; Jun2026, Vol. 14 Issue 11, p1788, 13p
Subject Terms: Adsorption isotherms, Computer simulation, Mathematical optimization, Partial differential equations, Chromatographic analysis, High performance liquid chromatography, Adsorption (Chemistry)
Abstract: Efficient and accurate simulation methods are essential for analyzing and optimizing chromatographic processes, which are governed by partial differential equations (PDEs) and characterized by the propagation of steep concentration fronts. These fronts often cause numerical dispersion and high computational costs in conventional finite-volume or finite-difference schemes. In this paper, a fast and accurate simulation method for highly efficient chromatographic columns with negligible axial dispersion, linear and nonlinear non-competitive adsorption isotherms is proposed. The simulation approach is based on the propagation of discrete concentration values using characteristic velocities. In the linear case, the method is exact, and only the graphical representation of the solution depends on the discretization of the concentration coordinate. In the nonlinear case, an approximation is proposed to capture the possible formation of discontinuities efficiently. Nevertheless, it is shown that good agreement with reference solutions is achieved even for a relatively low number of discrete concentration values. Applications of the proposed methods are demonstrated for different multi-column simulated moving bed processes. The results show that the computational effort can be significantly reduced compared to the popular cell model, which represents a first-order finite-volume approximation of the underlying PDEs. The proposed approach thus enables rapid process design and parameter exploration for both linear and nonlinear non competitive adsorption isotherms for SMB chromatography separations with highly efficient columns. [ABSTRACT FROM AUTHOR]
Copyright of Processes is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Efficient Computer Simulation of Simulated Moving Bed Chromatographic Processes with Negligible Axial Dispersion, Linear and Nonlinear Noncompetitive Adsorption Isotherms.
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  Data: <searchLink fieldCode="AR" term="%22Pishkari%2C+Rojiar%22">Pishkari, Rojiar</searchLink><br /><searchLink fieldCode="AR" term="%22Kienle%2C+Achim%22">Kienle, Achim</searchLink>
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  Data: Processes; Jun2026, Vol. 14 Issue 11, p1788, 13p
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  Data: <searchLink fieldCode="DE" term="%22Adsorption+isotherms%22">Adsorption isotherms</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Partial+differential+equations%22">Partial differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Chromatographic+analysis%22">Chromatographic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22High+performance+liquid+chromatography%22">High performance liquid chromatography</searchLink><br /><searchLink fieldCode="DE" term="%22Adsorption+%28Chemistry%29%22">Adsorption (Chemistry)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Efficient and accurate simulation methods are essential for analyzing and optimizing chromatographic processes, which are governed by partial differential equations (PDEs) and characterized by the propagation of steep concentration fronts. These fronts often cause numerical dispersion and high computational costs in conventional finite-volume or finite-difference schemes. In this paper, a fast and accurate simulation method for highly efficient chromatographic columns with negligible axial dispersion, linear and nonlinear non-competitive adsorption isotherms is proposed. The simulation approach is based on the propagation of discrete concentration values using characteristic velocities. In the linear case, the method is exact, and only the graphical representation of the solution depends on the discretization of the concentration coordinate. In the nonlinear case, an approximation is proposed to capture the possible formation of discontinuities efficiently. Nevertheless, it is shown that good agreement with reference solutions is achieved even for a relatively low number of discrete concentration values. Applications of the proposed methods are demonstrated for different multi-column simulated moving bed processes. The results show that the computational effort can be significantly reduced compared to the popular cell model, which represents a first-order finite-volume approximation of the underlying PDEs. The proposed approach thus enables rapid process design and parameter exploration for both linear and nonlinear non competitive adsorption isotherms for SMB chromatography separations with highly efficient columns. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Processes is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/pr14111788
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1788
    Subjects:
      – SubjectFull: Adsorption isotherms
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Partial differential equations
        Type: general
      – SubjectFull: Chromatographic analysis
        Type: general
      – SubjectFull: High performance liquid chromatography
        Type: general
      – SubjectFull: Adsorption (Chemistry)
        Type: general
    Titles:
      – TitleFull: Efficient Computer Simulation of Simulated Moving Bed Chromatographic Processes with Negligible Axial Dispersion, Linear and Nonlinear Noncompetitive Adsorption Isotherms.
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            NameFull: Pishkari, Rojiar
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            NameFull: Kienle, Achim
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 14
            – Type: issue
              Value: 11
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            – TitleFull: Processes
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