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Related Concept Videos

Analyte Adsorption and Distribution01:09

Analyte Adsorption and Distribution

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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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Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen...
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Mapping adsorption on ionic surfaces via a pairwise potential-based high-throughput approach.

Eric Mates-Torres1, Piero Ugliengo2, Albert Rimola1

  • 1Departament de Química Universitat Autònoma de Barcelona Campus de la UAB 08193Bellaterra Catalonia Spain.

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Summary

This study introduces an automated method to predict molecular adsorption on ionic surfaces. The approach efficiently identifies stable binding sites, accelerating discovery in catalysis and materials science.

Keywords:
automationhigh-throughput techniquesinteractionspotential energiessurfaces

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Area of Science:

  • Surface Science
  • Computational Chemistry
  • Materials Science

Background:

  • Understanding molecular adsorption on ionic surfaces is vital for chemical applications like catalysis.
  • Traditional methods (e.g., DFT) are computationally intensive, limiting complex surface analysis.
  • Identifying adsorption sites is key to designing new materials and chemical processes.

Purpose of the Study:

  • To develop an automated, high-throughput computational approach for predicting molecular adsorption on ionic surfaces.
  • To efficiently map adsorbate-surface interactions and identify global adsorption minima.
  • To provide a rapid tool for exploring configurational spaces on complex surfaces.

Main Methods:

  • Utilized pairwise Coulomb and Lennard-Jones potentials for interaction calculations.
  • Implemented a grid-based surface scan to compute per-site adsorption energies.
  • Input requires only the surface crystallographic information file (CIF).

Main Results:

  • The method accurately predicts adsorption configurations and energies for formaldehyde on forsterite and l-cysteine on CdS.
  • Results show good agreement with established Density Functional Theory (DFT) calculations.
  • Successfully identified global adsorption minima and potential binding modes.

Conclusions:

  • The developed automated workflow offers a rapid and accurate means to study molecular adsorption on complex ionic surfaces.
  • This approach facilitates the discovery of stable adsorption structures and potential binding sites.
  • The method's simplicity and accuracy enable exploration for new catalytic pathways.