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Related Concept Videos

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Related Experiment Video

Updated: Feb 11, 2026

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
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Predicting second gas-solid virial coefficients using calculated molecular properties on various carbon surfaces.

Thomas R Rybolt1, Vanessa E Janeksela, Dana N Hooper

  • 1Department of Chemistry, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA. tom-rybolt@utc.edu

Journal of Colloid and Interface Science
|February 27, 2004
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Summary

Gas-solid chromatography determined the second gas-solid virial coefficient (B2s) for various gases on carbon adsorbents. Quantitative structure retention relations effectively correlated B2s values using molecular and surface parameters.

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Area of Science:

  • Physical Chemistry
  • Surface Science
  • Chromatography

Background:

  • The second gas-solid virial coefficient (B2s) is crucial for understanding gas adsorption at low pressures.
  • Carbon adsorbents are widely used in gas separation and storage applications.
  • Predictive models for gas-solid interactions are needed to optimize adsorbent performance.

Purpose of the Study:

  • To measure B2s values for seven different gases on Carboxen-1000 carbon molecular sieve.
  • To develop quantitative structure retention relations (QSRR) correlating B2s with adsorbate and adsorbent properties.
  • To establish a predictive model for gas-solid interactions on carbon surfaces.

Main Methods:

  • Gas-solid chromatography was employed to determine B2s values across a temperature range (343-493 K).
  • Data from multiple studies were combined to create a comprehensive dataset of 65 B2s values for 36 gases and 4 carbon surfaces.
  • Theoretical equations for B2s were used as a basis for developing QSRR models.

Main Results:

  • B2s values were successfully extrapolated to a fixed temperature (403 K) for all systems.
  • A QSRR model incorporating molar refractivity, connectivity index, surface area, and surface energy contribution achieved a high correlation (r² = 0.952).
  • The model effectively predicted B2s values, considering variations in both adsorbate gases and carbon adsorbent surfaces.

Conclusions:

  • The developed QSRR provides a robust method for predicting gas-solid interactions on carbon surfaces.
  • The study highlights the importance of both adsorbate molecular properties and adsorbent surface characteristics in determining B2s.
  • These findings can aid in the design and selection of carbon adsorbents for specific gas separation applications.