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Area of Science:

  • Materials Science
  • Solid-State Chemistry
  • Computational Chemistry

Background:

  • Characterizing paramagnetic sites in materials is crucial for understanding their properties.
  • Traditional NMR methods can be challenging for paramagnetic systems due to broad shifts.

Purpose of the Study:

  • To introduce and validate a novel approach for characterizing paramagnetic sites in materials.
  • To elucidate the coordination geometry and electronic structure of an iron-containing metal-organic framework (MOF).

Main Methods:

  • Combining broadband fast magic-angle spinning (MAS) NMR spectroscopy with ab initio computed paramagnetic NMR shifts.
  • Utilizing correlated wave functions for accurate computational predictions.
  • Analyzing 1H and 13C MAS NMR spectra of ligand atoms in a model Fe@PCN-224 MOF.

Main Results:

  • The combined NMR and computational approach accurately predicted 13C NMR shifts for the paramagnetic Fe@PCN-224 MOF.
  • The predictions showed excellent agreement with experimental data, even with a wide NMR shift range (1200 ppm).
  • The method performed equally well for the diamagnetic counterpart (Fe-free PCN-224 MOF).

Conclusions:

  • The developed approach is highly effective for characterizing paramagnetic sites in various materials.
  • This method is applicable to crystalline, noncrystalline, and molecular systems.
  • It provides a powerful tool for determining coordination geometry and electronic structure in paramagnetic materials.