Rapid identification of novel psychoactive and other controlled substances using low-field 1 H NMR spectroscopy
Rapid identification of novel psychoactive and other controlled substances using low-field 1 H NMR spectroscopy
An automated approach to the collection of 1H NMR (nuclear magnetic resonance) spectra using a benchtop NMR spectrometer and the subsequent analysis, processing, and elucidation of components present in seized drug samples are reported. An algorithm is developed to compare spectral data to a reference library of over 300 1H NMR spectra, ranking matches by a correlation-based score. A threshold for identification was set at 0.838, below which identification of the component present was deemed unreliable. Using this system, 432 samples were surveyed and validated against contemporaneously acquired GC–MS (gas chromatography–mass spectrometry) data. Following removal of samples which possessed no peaks in the GC–MS trace or in both the 1H NMR spectrum and GC–MS trace, the remaining 416 samples matched in 93% of cases. Thirteen of these samples were binary mixtures. A partial match (one component not identified) was obtained for 6% of samples surveyed whilst only 1% of samples did not match at all.
7103-7112
Antonides, Lysbeth
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Brignall, Rachel
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Costello, Andrew
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Ellison, Jamie
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Firth, Samuel
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Gilbert, Nicholas
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Groom, Bethany
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Hudson, Samuel
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Hulme, Matthew
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Marron, Jack
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Pullen, Zoe
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Robertson, Thomas
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Schofield, Christopher
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Williamson, David
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Kemsley, Kate
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Sutcliffe, Oliver
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Mewis, Ryan
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30 April 2019
Antonides, Lysbeth
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Brignall, Rachel
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Costello, Andrew
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Ellison, Jamie
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Firth, Samuel
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Gilbert, Nicholas
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Groom, Bethany
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Hudson, Samuel
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Hulme, Matthew
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Marron, Jack
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Pullen, Zoe
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Robertson, Thomas
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Schofield, Christopher
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Williamson, David
b6d9247f-259e-440c-a395-77d55c0ec587
Kemsley, Kate
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Sutcliffe, Oliver
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Mewis, Ryan
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Antonides, Lysbeth, Brignall, Rachel, Costello, Andrew, Ellison, Jamie, Firth, Samuel, Gilbert, Nicholas, Groom, Bethany, Hudson, Samuel, Hulme, Matthew, Marron, Jack, Pullen, Zoe, Robertson, Thomas, Schofield, Christopher, Williamson, David, Kemsley, Kate, Sutcliffe, Oliver and Mewis, Ryan
(2019)
Rapid identification of novel psychoactive and other controlled substances using low-field 1 H NMR spectroscopy.
ACS Omega, 4 (4), .
(doi:10.1021/acsomega.9b00302).
Abstract
An automated approach to the collection of 1H NMR (nuclear magnetic resonance) spectra using a benchtop NMR spectrometer and the subsequent analysis, processing, and elucidation of components present in seized drug samples are reported. An algorithm is developed to compare spectral data to a reference library of over 300 1H NMR spectra, ranking matches by a correlation-based score. A threshold for identification was set at 0.838, below which identification of the component present was deemed unreliable. Using this system, 432 samples were surveyed and validated against contemporaneously acquired GC–MS (gas chromatography–mass spectrometry) data. Following removal of samples which possessed no peaks in the GC–MS trace or in both the 1H NMR spectrum and GC–MS trace, the remaining 416 samples matched in 93% of cases. Thirteen of these samples were binary mixtures. A partial match (one component not identified) was obtained for 6% of samples surveyed whilst only 1% of samples did not match at all.
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Accepted/In Press date: 19 March 2019
e-pub ahead of print date: 19 April 2019
Published date: 30 April 2019
Identifiers
Local EPrints ID: 444152
URI: http://eprints.soton.ac.uk/id/eprint/444152
ISSN: 2470-1343
PURE UUID: b503745e-a075-461a-b32b-60a9b0cb901c
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Date deposited: 29 Sep 2020 17:39
Last modified: 17 Mar 2024 04:04
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Contributors
Author:
Lysbeth Antonides
Author:
Rachel Brignall
Author:
Andrew Costello
Author:
Jamie Ellison
Author:
Samuel Firth
Author:
Nicholas Gilbert
Author:
Bethany Groom
Author:
Samuel Hudson
Author:
Matthew Hulme
Author:
Jack Marron
Author:
Zoe Pullen
Author:
Christopher Schofield
Author:
David Williamson
Author:
Kate Kemsley
Author:
Oliver Sutcliffe
Author:
Ryan Mewis
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