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Pinpointing Cu-Coordination Motifs in Bio-Inspired MOFs by Combining DFT-Assisted XAS Analysis and Multivariate Curve

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This study uses in situ X-ray absorption spectroscopy (XAS) with advanced analysis to reveal distinct copper species in MOF catalysts. It identifies preferential redox activity of specific Cu(II) ions within the catalyst structure.

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Area of Science:

  • Materials Science
  • Catalysis
  • Spectroscopy

Background:

  • X-ray absorption spectroscopy (XAS) is crucial for heterogeneous catalyst research.
  • Interpreting XAS data from in situ/operando experiments is challenging due to signal averaging.
  • Advanced analysis methods are needed to resolve complex catalytic systems.

Purpose of the Study:

  • To monitor the evolution of distinct copper (Cu) species in histidine-modified Cu-UiO-66 metal-organic frameworks (MOFs).
  • To gain detailed structural insights into the Cu active sites during catalytic reactions.
  • To investigate the redox behavior of different Cu species within the MOF.

Main Methods:

  • In situ X-ray absorption spectroscopy (XAS).
  • Multivariate curve resolution-alternating least squares (MCR-ALS) and wavelet transform (WT) analysis.
  • Density functional theory (DFT)-assisted extended X-ray absorption fine structure (EXAFS) fitting.

Main Results:

  • Successfully resolved distinct Cu species evolving during the reaction.
  • Quantitatively refined the local structure of MCR-derived Cu species using DFT-EXAFS.
  • Identified preferential redox activity of Cu(II) ions coordinated within defective Zr clusters.

Conclusions:

  • The combined MCR-ALS, WT, and DFT-EXAFS approach effectively deconvolutes complex XAS signals.
  • Specific Cu(II) species within the MOF exhibit distinct redox behaviors, crucial for catalytic activity.
  • This methodology provides a powerful tool for understanding active sites in MOF catalysts.