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Heterogeneous Catalysis01:22

Heterogeneous Catalysis

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Heterogeneous catalysis involves a catalyst in a different phase from the reactants. It is a process where the catalyst and the reactants are in distinct phases, typically solid and gas or liquid.Most heterogeneous catalysts are metals, metal oxides, or acids. The list includes transition metals like iron (Fe), cobalt (Co), nickel (Ni), palladium (Pd), platinum (Pt), chromium (Cr), manganese (Mn), tungsten (W), silver (Ag), and copper (Cu). These metals possess partially vacant d orbitals that...
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  1. Home
  2. Metal-metal Oxide Interaction Modulated Photocatalytic Methane Conversion.
  1. Home
  2. Metal-metal Oxide Interaction Modulated Photocatalytic Methane Conversion.

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Metal-Metal Oxide Interaction Modulated Photocatalytic Methane Conversion.

Yanzhao Zhang1, Jiakang You1, Kai Wang1,2

  • 1Nanomaterials Centre, School of Chemical Engineering and Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD 4072, Australia.

Journal of the American Chemical Society
|April 16, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a model for metal-metal oxide interactions in methane conversion, using oxygen vacancy and methyl adsorption energies to predict catalyst performance. The findings enable rational design of efficient and selective photocatalysts for methane coupling.

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Area of Science:

  • Heterogeneous Catalysis
  • Materials Science
  • Surface Chemistry
  • Photocatalysis

Background:

  • Metal-metal oxide (M-MO) interactions are crucial in catalysis, yet their precise role in modulating lattice oxygen activity and stabilizing reaction intermediates remains unclear.
  • Understanding these interactions is vital for advancing catalytic processes like photocatalytic oxidative coupling of methane (POCM).

Purpose of the Study:

  • To develop a simple, predictive model for M-MO interactions in POCM.
  • To establish a quantitative framework linking M-MO interfacial properties to catalytic activity and selectivity.
  • To enable rational design of M-MO photocatalysts for efficient methane conversion.

Main Methods:

  • Development of a predictive model based on oxygen vacancy formation energy (E_OV) and methyl adsorption energy difference (ΔE_*CH3).
  • Correlation of E_OV and ΔE_*CH3 with photocatalytic activity and selectivity in POCM.
  • Experimental validation using a AgPd/TiO2 catalyst.
  • Main Results:

    • E_OV governs lattice oxygen reactivity and C-H activation, while ΔE_*CH3 controls methyl distribution and C-C coupling selectivity.
    • Optimal methane conversion requires moderately labile lattice oxygen and large ΔE_*CH3 for selective C-C bond formation.
    • The AgPd/TiO2 catalyst demonstrated high methane conversion (30 mmol g⁻¹ h⁻¹), C2 selectivity (92%), and stability (160 h).

    Conclusions:

    • The E_OV-ΔE_*CH3 framework provides a unifying principle and predictive descriptor map for M-MO photocatalysts in POCM.
    • Interfacial synergy is the principal determinant of M-MO photocatalyst performance.
    • This study enables rational design of M-MO catalysts by quantifying M-MO interactions.