4.6 Article

Interpreting the Operando XANES of Surface-Supported Subnanometer Clusters: When Fluxionality, Oxidation State, and Size Effect Fight

Journal

JOURNAL OF PHYSICAL CHEMISTRY C
Volume 124, Issue 18, Pages 10057-10066

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcc.0c02823

Keywords

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Funding

  1. DOE-BES grant [DE-SC0019152]
  2. US Department of Energy, BES Materials Sciences [DEAC02-06CH11357]
  3. University of Chicago Argonne, LLC
  4. US DOE, Scientific User Facilities [DEAC02-06CH11357]
  5. European Union's Horizon 2020 research and innovation program [810310]
  6. U.S. Department of Energy (DOE) [DE-SC0019152] Funding Source: U.S. Department of Energy (DOE)

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X-ray absorption near edge structure (XANES) spectroscopy is widely used for operando catalyst characterization. We show that, for highly fluxional supported nanoclusters, the customary extraction of the oxidation state of the metal from the XANES data by fitting to the bulk standards is highly questionable. The XANES signatures as well as the apparent oxidation state for such clusters arise from a complex combination of many factors, and not only from the chemical composition in reaction conditions (e.g., oxygen content in oxidizing atmosphere). The thermally accessible isomerization and population of several structurally distinct cluster forms, cluster-support interaction, and intrinsic size effects all impact the metal oxidation state and XANES signal. We demonstrate this on copper oxide clusters with different compositions, Cu4Ox(x = 2-5) and Cu5Oy (y = 3, 5), deposited on amorphous alumina and ultrananocrystalline diamond, for which we computed the XANES spectra and compare the results to the experiment. We show in addition that fitting the experimental spectrum to calculated spectra of supported clusters can, in contrast, provide good agreement and insight into the spectrum-composition-structure relation. Experimental XANES interpreted using the proposed fitting scheme shows the partial reduction of Cu oxide clusters at rising temperatures, and pinpoints the specific stoichiometries that dominate in the ensemble of cluster states as the temperature changes.

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