Crystal structure validation of verinurad via proton-detected ultra-fast MAS NMR and machine learning

Abstract

The recent development of ultra-fast magic-angle spinning (MAS) (>100 kHz) provides new opportunities for structural characterization in solids. Here, we use NMR crystallography to validate the structure of verinurad, a microcrystalline active pharmaceutical ingredient. To do this, we take advantage of ¹H resolution improvement at ultra-fast MAS and use solely ¹H-detected experiments and machine learning methods to assign all the experimental proton and carbon chemical shifts. This framework provides a new tool for elucidating chemical information from crystalline samples with limited sample volume and yields remarkably faster acquisition times compared to ¹³C-detected experiments, without the need to employ dynamic nuclear polarization.