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Updated: May 13, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
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Published on: May 20, 2014

Quantification of the confinement effect in microporous materials.

Edder J García1, Javier Pérez-Pellitero, Christian Jallut

  • 1IFP Energies nouvelles, Rond Point échangeur de Solaize, 69360 Solaize, France.

Physical Chemistry Chemical Physics : PCCP
|March 12, 2013
PubMed
Summary

Quantifying confinement in microporous materials is crucial for physisorption. This study introduces a method using Gaussian and mean curvatures to predict adsorption heat and identify optimal sites in porous solids.

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Area of Science:

  • Materials Science
  • Physical Chemistry
  • Computational Chemistry

Background:

  • Confinement significantly impacts physisorption in microporous materials.
  • Confinement arises from the interplay between pore geometry and adsorbate molecule geometry.
  • Porous solid geometry can be characterized by Gaussian and mean curvatures.

Purpose of the Study:

  • To establish Gaussian and mean curvatures as effective descriptors for quantifying molecular confinement in porous solids.
  • To develop a methodology for calculating these geometric parameters in microporous materials.
  • To correlate curvature with adsorption properties and identify favorable adsorption sites.

Main Methods:

  • Reconstruction of the accessible surface of microporous materials.

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  • Numerical calculation of Gaussian and mean curvatures on the reconstructed surface mesh.
  • Correlation analysis between global mean curvature and heat of adsorption for CO2 and CH4.

    • Main Results:

    • Local curvature effectively identifies preferential adsorption sites within porous structures.
    • Global mean curvature shows a strong correlation with the heat of adsorption for CO2 and CH4 on zeolites and MOFs.
    • A theoretical basis for the observed empirical correlation between curvature and adsorption heat is established.

    Conclusions:

    • The developed methodology provides a semi-quantitative estimation of confinement.
    • This approach is applicable across diverse pore geometries and is independent of chemical composition.
    • The method avoids the need for computationally intensive force field calculations.