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Challenges and Opportunities for Applications of Advanced X-ray Spectroscopy in Catalysis Research

期刊

ACS CATALYSIS
卷 12, 期 10, 页码 5864-5886

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acscatal.2c01016

关键词

X-ray spectroscopy; extended X-ray absorption fine structure; high-energy-resolution fluorescence detection X-ray absorption spectroscopy; X-ray emission spectroscopy; resonant inelastic X-ray scattering; resonant X-ray emission spectroscopy; in situ spectroscopy; operando spectroscopy

资金

  1. Max Planck Society

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X-ray spectroscopy plays a significant role in catalysis research by providing essential electronic and geometric structural information. The development of dedicated synchrotron-based X-ray emission spectrometers has expanded experimental capabilities, offering more detailed data. There is a continuous demand for conventional XAS applications and the integration with more advanced techniques.
X-ray spectroscopy has had a significant and continually growing impact on catalysis research for nearly 50 years. In particular, the ability to obtain element selective electronic and geometric structural information via the X-ray absorption (XAS) edge and extended X-ray absorption fine structure regions, respectively, has been a major asset for catalysis research. In the last two decades, the development of dedicated synchrotron-based X-ray emission spectrometers has greatly expanded the range of possible experiments, enabling both nonresonant and resonant X-ray emission spectroscopy experiments that can provide greater selectivity and more detailed electronic and structural information. Herein, we briefly review the range of hard X-ray photon-in, photon-out experiments that are presently possible, and highlight their recent applications in catalysis research. We also discuss the ongoing need for conventional XAS applications, either in standalone applications or in combination with more advanced approaches. The open opportunities and ongoing challenges for applying these methods, and ultimately for analyzing and interpreting the data, are also discussed.

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