Hydrocarbon Macrocycle Conformer Ensembles and 13 C-NMR Spectra

Angew Chem Int Ed Engl. 2022 Mar 28;61(14):e202113905. doi: 10.1002/anie.202113905. Epub 2022 Feb 15.

Abstract

NMR as a routine analytical method provides important three-dimensional structure information of compounds in solution. Here we apply the recently released CRENSO computational workflow for the automated generation of conformer ensembles to the quantum mechanical calculation of 13 C-NMR spectra of a series of flexible cycloalkanes up to C20 H40 . We evaluate the computed chemical shifts in comparison with corresponding experimental data in chloroform. It is shown that accurate and properly averaged theoretical NMR data can be obtained in about a day of computation time on a standard workstation computer. The excellent agreement between theory and experiment enables one to deduce preferred conformations of large, non-rigid macrocycles under ambient conditions from our automated procedure.

Keywords: Computational Chemistry; Macrocycle; NMR-Spectroscopy; Structure Elucidation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Hydrocarbons*
  • Magnetic Resonance Imaging*
  • Magnetic Resonance Spectroscopy / methods
  • Molecular Conformation
  • Quantum Theory

Substances

  • Hydrocarbons