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Ligand Design for Isomer-Selective Oxorhenium(V) Complex Synthesis.

Jinyong LiuXiaoge SuMengwei HanDimao WuDanielle L GrayJohn R ShapleyCharles J WerthTimothy J Strathmann
Published in: Inorganic chemistry (2017)
Recently, N,N-trans Re(O)(LN-O)2X (LN-O = monoanionic N-O chelates; X = Cl or Br prior to being replaced by solvents or alkoxides) complexes have been found to be superior to the corresponding N,N-cis isomers in the catalytic reduction of perchlorate via oxygen atom transfer. However, reported methods for Re(O)(LN-O)2X synthesis often yield only the N,N-cis complex or a mixture of trans and cis isomers. This study reports a geometry-inspired ligand design rationale that selectively yields N,N-trans Re(O)(LN-O)2Cl complexes. Analysis of the crystal structures revealed that the dihedral angles (DAs) between the two LN-O ligands of N,N-cis Re(O)(LN-O)2Cl complexes are less than 90°, whereas the DAs in most N,N-trans complexes are greater than 90°. Variably sized alkyl groups (-Me, -CH2Ph, and -CH2Cy) were then introduced to the 2-(2'-hydroxyphenyl)-2-oxazoline (Hhoz) ligand to increase steric hindrance in the N,N-cis structure, and it was found that substituents as small as -Me completely eliminate the formation of N,N-cis isomers. The generality of the relationship between N,N-trans/cis isomerism and DAs is further established from a literature survey of 56 crystal structures of Re(O)(LN-O)2X, Re(O)(LO-N-N-O)X, and Tc(O)(LN-O)2X congeners. Density functional theory calculations support the general strategy of introducing ligand steric hindrance to favor synthesis of N,N-trans Re(O)(LN-O)2X and Tc(O)(LN-O)2X complexes. This study demonstrates the promise of applying rational ligand design for isomeric control of metal complex structures, providing a path forward for innovations in a number of catalytic, environmental, and biomedical applications.
Keyphrases
  • density functional theory
  • molecular dynamics
  • systematic review
  • clinical trial
  • ionic liquid
  • risk assessment
  • mass spectrometry
  • cross sectional
  • big data
  • single cell
  • artificial intelligence