Evaluation of benchtop NMR Diffusion Ordered Spectroscopy for small molecule mixture analysis.


Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
02 2019
Historique:
received: 30 07 2018
revised: 26 09 2018
accepted: 28 09 2018
pubmed: 7 10 2018
medline: 18 6 2019
entrez: 7 10 2018
Statut: ppublish

Résumé

Diffusion Ordered Spectroscopy (DOSY) is an attractive method for analyzing chemical mixtures in the liquid state because it separates spectra by the molecular weight of the associated molecule. It has been compared with hyphenated chromatographic and analytical methods such LC-MS and has broad potential in servicing those same applications including forensics, reaction analysis, quality control, and fraud detection. Benchtop NMR can collect quality spectra on small molecules, however, lacks the chemical shift dispersion of high field instruments, can suffer from spectral overlap common in mixtures, and the diminished sensitivity of the lower field compounds these problems. In this work, we show that existing high field pulse sequences and processing methods perform well at 43 MHz. Spectra from molecular mixtures where the constituents had 20% differences in diffusion coefficients and significant overlap were able to be matched to a bespoke spectral library and identified correctly. In addition, spectra from mixtures with constituents that have severe overlap in the spectrum and differ by 50% in diffusion coefficients were also able to be match and identified correctly. The combination of benchtop NMR and easy implementation of modern pulse sequences and processing show promise of bringing these useful methods to chemistry laboratories in research and industrial environments.

Identifiants

pubmed: 30290994
pii: S0730-725X(18)30340-0
doi: 10.1016/j.mri.2018.09.033
pii:
doi:

Substances chimiques

Butanols 0
Hexanols 0
Octanols 0
2-butanol 0TUL3ENK62
1-hexanol 6CP2QER8GS

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103-109

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Evan R McCarney (ER)

Korimako Chemical Limited, Wellington, New Zealand; School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington, New Zealand. Electronic address: evan@korimakochem.co.nz.

Robin Dykstra (R)

School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand.

Petrik Galvosas (P)

School of Chemical and Physical Sciences, Victoria University of Wellington, Wellington, New Zealand.

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Classifications MeSH