Effect of temperature variations on non-equilibrium and non-isothermal two-component liquid chromatography in cylindrical columns

Ahmad, Abdulaziz Garba; Qamar, Shamsul

doi:10.1080/10826076.2020.1848863

Cited by 1 publication

(2 citation statements)

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“…For example, increasing the temperature decreases viscosity while rising solubility and diffusivity. Moreover, the peak shape, the efficiency of the column, complete-time analysis and retention time has temperature influences due to the thermodynamics, and adsorption kinetics are temperature-dependent [15,16]. Further, the use of a steady condition of temperature during the process increases reproducibility.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation of Nonlinear and Non-Isothermal Liquid Chromatography for Studying Thermal Variations in Columns Packed with Core-Shell Particles

Ahmad

Okechi²,

Uche

et al. 2023

J. Nig. Soc. Phys. Sci.

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A high-resolution flux-limiting semi-discrete finite volume scheme (HR-FVS) is applied in this study to numerically approximate the nonlinear and non-isothermal flow of one-dimensional lumped kinetic model (1D-LKM), for a fixed-bed column loaded with core-shell particles. The developed model comprise a system of convection-dominated partial differential for mass and energy balances in the mobile phases coupled with differential equation and algebraic equation in the stationary phase. The solution of the model equations is obtained by utilizing a HR-FVS, the scheme has second-order accuracy even on the grid coarse and its explicit nature has the potential to resolve the arisen sharp discontinuities in the solution profiles. A second-order total variation diminishing (TVD) Runge-Kutta technique is used to solve the system of ODEs in time. Several forms of a single-solute mixture are produced to investigate the influences of the fractions of core radius on thermal waves and concentration fronts. Moreover, a particular criterion is introduced for analyzing the performance of the underlying process and to identify the optimal parameter values of the fraction of core radius.

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Section: Introductionmentioning

confidence: 99%

“…A number of mathematical models for simulating the underlying chemical process at various extent of complexities are available in the literature to aid in the understanding of physical phenomena [15,16,25,26]. This modeling approach allows us to comprehend what occurs within the column, and also during the separation process.…”

Section: Introductionmentioning

confidence: 99%