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January 14, 2026International Journal of Molecular Sciences4 citationsOpen Access

Modern Quantum Chemistry Methodology for Predicting 31P Nuclear Magnetic Resonance Chemical Shifts

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IRIrina L. RusakovaYRYury Yu. Rusakov

Key Points

  • This review aims to explore advanced quantum chemistry methods for predicting 31P NMR chemical shifts.
  • Survey of density functional and wave function methods for electron structure
  • Discussion of factors affecting prediction accuracy
  • Analysis of solvent, vibrational, and relativistic corrections
  • Accurate predictions of 31P NMR chemical shifts within a few ppm
  • Identification of critical factors impacting prediction accuracy
  • Application of methods to study chemical structure and catalysts

Abstract

Phosphorus-31 nuclear magnetic resonance (31P NMR) spectroscopy is a powerful analytical physical chemistry experimental technique that is widely used to study the structure and dynamics of phosphorus-containing compounds today. Accurate calculation of 31P NMR chemical shifts lies in the basis of the proper assignment of NMR signals, as they can be closely spaced to each other in the NMR spectra of systems that bear nuclei with subtly different electron environments, like complex organophosphorus compounds, nucleic acids, and phosphates, etc. The most advanced quantum chemistry (QC) methods allow us to reach the agreement between theoretical values of 31P NMR chemical shifts and experiments within a few ppm, which makes them a useful tool for studying chemical structure, reaction mechanisms, and catalyst design with the aid of the NMR method. This review surveys the application of both density functional and wave function methods of electron structure to the calculation of 31P NMR chemical shifts and proposes a thorough discussion of the latest findings related to the factors affecting the final accuracy of the 31P NMR chemical shifts prediction, including basis sets, the geometry factor effect, solvent, vibrational, and relativistic corrections.

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Cite This Study

Rusakova et al. (2026) studied this question.

synapsesocial.com/papers/6966e73f13bf7a6f02bffdf1https://doi.org/10.3390/ijms27020704
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