Rapid detection of synthetic cannabinoid receptor agonists impregnated into paper by attenuated total reflectance Fourier transform infrared spectroscopy.

attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy drug impregnation new psychoactive substances synthetic cannabinoid receptor agonist

Journal

Journal of forensic sciences
ISSN: 1556-4029
Titre abrégé: J Forensic Sci
Pays: United States
ID NLM: 0375370

Informations de publication

Date de publication:
Nov 2023
Historique:
revised: 14 06 2023
received: 07 03 2023
accepted: 18 07 2023
medline: 27 10 2023
pubmed: 18 8 2023
entrez: 18 8 2023
Statut: ppublish

Résumé

The last few years have witnessed the change in the modalities of smuggling of synthetic cannabinoid receptor agonists (SCRAs) by impregnating them in mail envelopes and fast parcels. Considering the aforementioned scenario, it is important to develop a portable technique to identifying SCRAs through packages. The purpose of this research was to detect SCRAs impregnated into substrates of paper using attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy. Three SCRAs that included 5F-PB-22, AB-FUBINACA and AKB-48 were purchased from Sigma Aldrich. The three SCRAs and four cutting agents were impregnated into paper of variable thickness at four concentrations (10, 15, 20, and 25 mg/mL). Spectra were collected over the wavenumber range of 650-4000 cm

Identifiants

pubmed: 37593942
doi: 10.1111/1556-4029.15346
doi:

Substances chimiques

Cannabinoid Receptor Agonists 0
N-(1-adamantyl)-1-pentylindazole-3-carboxamide 0
Indazoles 0
Adamantane PJY633525U

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1906-1912

Informations de copyright

© 2023 American Academy of Forensic Sciences.

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Auteurs

Thomas Coombs (T)

Faculty of Science and Technology, Bournemouth University, Poole, UK.

Amor Abdelkader (A)

Faculty of Science and Technology, Bournemouth University, Poole, UK.

Leung Tang (L)

Field Detection Group, Agilent Technologies, Glasgow, UK.

Dhiya Al-Jumeily (D)

School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, UK.

Sulaf Assi (S)

School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.

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Classifications MeSH