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Operando Laboratory‐Based Multi‐Edge X‐Ray Absorption Near‐Edge Spectroscopy of Solid Catalysts
Laboratory‐based X‐ray absorption spectroscopy (XAS) and especially X‐ray absorption near‐edge structure (XANES) offers new opportunities in catalyst characterization and presents not only an alternative, but also a complementary approach to precious beamtime at synchrotron facilities. We successful...
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Published in: | Angewandte Chemie 2022-11, Vol.134 (48), p.n/a |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Laboratory‐based X‐ray absorption spectroscopy (XAS) and especially X‐ray absorption near‐edge structure (XANES) offers new opportunities in catalyst characterization and presents not only an alternative, but also a complementary approach to precious beamtime at synchrotron facilities. We successfully designed a laboratory‐based setup for performing operando, quasi‐simultaneous XANES analysis at multiple K‐edges, more specifically, operando XANES of mono‐, bi‐, and trimetallic CO2 hydrogenation catalysts containing Ni, Fe, and Cu. Detailed operando XANES studies of the multielement solid catalysts revealed metal‐dependent differences in the reducibility and re‐oxidation behavior and their influence on the catalytic performance in CO2 hydrogenation. The applicability of operando laboratory‐based XANES at multiple K‐edges paves the way for advanced multielement catalyst characterization complementing detailed studies at synchrotron facilities.
Operando laboratory‐based multi‐edge X‐ray absorption near‐edge spectroscopy (XANES) offers possibilities for advanced catalyst characterization, as demonstrated for mono‐, bi‐, and trimetallic CO2 hydrogenation catalysts consisting of Ni, Cu, and Fe. Synergistic effects during catalyst reduction and their influence on catalytic performance were unraveled, guiding rational design of multielement solid catalysts for various applications. |
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ISSN: | 0044-8249 1521-3757 |
DOI: | 10.1002/ange.202209334 |