Enhancing the NMR signals of plant oil components using hyperpolarisation relayed via proton exchange

Adel Alshehri, Benjamin Tickner, Wissam IALI, Simon B. Duckett

Research output: Contribution to journalArticlepeer-review

Abstract

In this work, the limited sensitivty of magnetic resonance is addressed by using the hyperpolarisation method relayed signal amplfiication by reversible exchange (SABRE-Relay) to transfer latent magnetism from parahydrogen, a readily isolated spin isomer of hydrogen gas, to components of key plant oils such as citronellol, geraniol, and nerol. This is achieved via relayed polarisation transfer in which an [Ir(H)2(IMes)(NH2R)3]Cl type complex produces hyperpolarised NH2R free in solution, before labile proton exchange between the hyperpolarisation carrier (NH2R) and the OH-containing plant oil component generates enhanced NMR signals for the latter. Consequently, up to ca 200-fold 1H NMR enhancements (0.65% 1H polarisation) and 800-fold 13C NMR signal enhancements (0.65% 13C polarisation) are recorded for these essential oils in seconds. Remarkably, the resulting NMR signals are not only diagnostic, but prove to propagate over large spin systems via a suitable coupling network. A route to optimse the enhancement process by varying the identity of the carrier NH2R, and its concentration is demonstrated. In order to prove utility, these pilot measurements are extended to study a much wider range of plant-derived molecules including rhodinol, verbenol, (1R)-endo-(+)-fenchyl alcohol, (-)-carveol, and linalool. Further measurements are then described which demonstrate citronellol and geraniol can eb detected in an off-the-shelf healthcare product rose geranium oil at concentrations of just a few tens of µM in single scan 1H NMR measurements, which are not visible in comparable thermally polarised NMR experiments. This work therefore presents a significant expansion of the types of molecules ameanable to hyperpolarisation using parahydrogen and illustrates a real-world application in the diagnostic detection of low concentration analytes in mixtures.
Original languageEnglish
Number of pages11
JournalChemical Science
Early online date29 Aug 2023
DOIs
Publication statusE-pub ahead of print - 29 Aug 2023

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© 2023 The Author(s).

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