Identifying aspirin polymorphs from combined DFT-based crystal structure prediction and solid-state NMR

Renny Mathew, Karolina A. Uchman, Lydia Gkoura, Chris J. Pickard, Maria Baias

Research output: Contribution to journalArticlepeer-review

Abstract

A combined experimental and computational approach was used to distinguish between different polymorphs of the pharmaceutical drug aspirin. This method involves the use of ab initio random structure searching (AIRSS), a density functional theory (DFT)-based crystal structure prediction method for the high-accuracy prediction of polymorphic structures, with DFT calculations of nuclear magnetic resonance (NMR) parameters and solid-state NMR experiments at natural abundance. AIRSS was used to predict the crystal structures of form-I and form-II of aspirin. The root-mean-square deviation between experimental and calculated 1H chemical shifts was used to identify form-I as the polymorph present in the experimental sample, the selection being successful despite the large similarities between the molecular environments in the crystals of the two polymorphs.

Original languageEnglish (US)
Pages (from-to)1018-1025
Number of pages8
JournalMagnetic Resonance in Chemistry
Volume58
Issue number11
DOIs
StatePublished - Nov 1 2020

Keywords

  • H NMR
  • NMR
  • NMR crystallography
  • ab initio random structure searching
  • crystal structure prediction
  • organic molecular crystals
  • pharmaceuticals
  • polymorphism
  • small molecules

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)

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