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In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
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Adsorption Process Optimization and Adsorbent Evaluation Based on Langmuir Isotherm Model.

Jinyu Wang1, Bo Wang1, Zulong Wen1

  • 1Faculty of Chemical Engineering, Kunming University of Science and Technology, Kunming 650500, People's Republic of China.

Langmuir : the ACS Journal of Surfaces and Colloids
|November 8, 2023
PubMed
Summary
This summary is machine-generated.

This study optimizes gas purification using adsorption isotherms. Mathematical analysis of the Langmuir model determines optimal conditions for pressure swing adsorption (PSA) and temperature swing adsorption (TSA), improving adsorbent efficiency.

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Area of Science:

  • Chemical Engineering
  • Materials Science
  • Separation Science

Background:

  • Adsorption separation is a key gas purification technique.
  • Pressure swing adsorption (PSA) and temperature swing adsorption (TSA) are widely used methods.
  • Understanding equilibrium data and adsorbent capacity is crucial for process design.

Purpose of the Study:

  • To mathematically analyze the Langmuir isotherm model for optimizing adsorption processes.
  • To determine optimal cyclic adsorption conditions and thermodynamic parameters for PSA and TSA.
  • To establish an objective function for calculating optimal adsorption/desorption temperatures and capacities.

Main Methods:

  • Mathematical analysis of the Langmuir isotherm model.
  • Calculation of thermodynamic parameters (entropy and enthalpy change).
  • Development of an objective function based on cyclic adsorption capacity and regeneration heat.

Main Results:

  • Optimal cyclic adsorption conditions for PSA and TSA were determined.
  • Optimal thermodynamic parameters (entropy and enthalpy change) were obtained.
  • The Langmuir isotherm model effectively predicts isobaric adsorption capacity.

Conclusions:

  • The Langmuir isotherm model provides a powerful tool for optimizing adsorption separation processes.
  • Optimal thermodynamic parameters and cyclic conditions enhance adsorbent performance.
  • This approach aids in designing more efficient gas purification systems.