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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
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.
2470-1343
7103-7112
Antonides, Lysbeth
7d4f7cbc-851f-498b-87f3-bf2b2e277933
Brignall, Rachel
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Costello, Andrew
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Ellison, Jamie
af49bc2e-0193-4b79-85fe-f889deb0b690
Firth, Samuel
a269cb5d-f49c-4a5b-881f-4c0a20e5b2d4
Gilbert, Nicholas
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Groom, Bethany
9da898e0-fcd1-4475-83e6-39ba1f13414e
Hudson, Samuel
081eadd1-be8d-4582-8431-8572d3de3a6f
Hulme, Matthew
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Marron, Jack
9cc94040-ca54-496a-ba40-2698585de435
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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Antonides, Lysbeth
7d4f7cbc-851f-498b-87f3-bf2b2e277933
Brignall, Rachel
4326f458-c1ea-4f9a-b1ab-cfd23386faa0
Costello, Andrew
47c95817-b94d-4632-84a9-fc9c4b63d4d5
Ellison, Jamie
af49bc2e-0193-4b79-85fe-f889deb0b690
Firth, Samuel
a269cb5d-f49c-4a5b-881f-4c0a20e5b2d4
Gilbert, Nicholas
740d59a2-4f6b-4068-b521-bb88f54c35b0
Groom, Bethany
9da898e0-fcd1-4475-83e6-39ba1f13414e
Hudson, Samuel
081eadd1-be8d-4582-8431-8572d3de3a6f
Hulme, Matthew
84fc509b-61fe-4f1b-8763-0e429f6a8b18
Marron, Jack
9cc94040-ca54-496a-ba40-2698585de435
Pullen, Zoe
09fa7e5f-bae2-4200-9ab8-f76e36935ee0
Robertson, Thomas
957b392c-1212-4721-bd6d-d1e00ed50a09
Schofield, Christopher
2851689e-1d12-49ab-9085-9882404312be
Williamson, David
b6d9247f-259e-440c-a395-77d55c0ec587
Kemsley, Kate
f5840833-fd65-4423-a16b-c58a488786f3
Sutcliffe, Oliver
9a6b1122-266b-4ed5-abc9-52268dd5b7a2
Mewis, Ryan
6760d0ba-4d5b-4129-b2b8-975c96a221ec

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), 7103-7112. (doi:10.1021/acsomega.9b00302).

Record type: Article

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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More information

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
ORCID for Thomas Robertson: ORCID iD orcid.org/0000-0001-9394-6185

Catalogue record

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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