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Analysis of Liquid Chromatography Considering a Linear Single-Component Heterogeneous-Type Reactive General Rate Model

  • Khalid Abdulkhaliq M. Alharbi
  • , Seemab Bashir
  • , Muhammad Ramzan
  • , Seifedine Kadry
  • , Sayed M. Eldin
  • Umm Al-Qura University
  • Air University, Islamabad
  • Bahria University
  • Noroff University College
  • Lebanese American University
  • Future University in Egypt

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper elaborates on the significance of liquid chromatography for a single-component reactive linear general rate model. The model equations consist of a set of two coupled partial differential equations, which include diffusion, interfacial mass transfer, axial dispersion, external and intraparticle pore diffusivity, and heterogeneous chemical reaction of the first order with two sets of boundary conditions. The model equations are solved by the Laplace transformation. The actual time domain solution is obtained by numerical Laplace inversion, as analytical inversion cannot be obtained. The graphical sketch of different physical parameters is presented to analyze the dynamics of the elution profiles. The result indicates that the chromatographic reactor works more efficiently on increasing the value of the heterogeneous-type first-order reaction. To check the analytical results, a second-order high-resolution finite volume scheme is used. Both results are in good agreement and indicate the correctness of the numerical scheme. The current work is also compared with the previously available numerical schemes, which shows that the proposed numerical scheme is better for elaborating the chromatographic reactor performance. A comparison table is also presented to compute error analysis and computational run time for analyzing the efficiency of the reactor. A graphical sketch of the numerical temporal moment analysis is also presented, which gives significant information about the performance and the shape of the concentration profiles.

Original languageEnglish
Pages (from-to)33280-33288
Number of pages9
JournalACS Omega
Volume8
Issue number37
DOIs
StatePublished - 19 Sep 2023

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