Literature DB >> 31989755

Hitting the Jackpot - development of gas chromatography-mass spectrometry (GC-MS) and other rapid screening methods for the analysis of 18 fentanyl-derived synthetic opioids.

Nicolas Gilbert1,2, Lysbeth H Antonides1,3, Christopher J Schofield2,4, Andrew Costello2,4, Brenda Kilkelly1, Alan R Cain2,5,6, Paula R V Dalziel7, Karen Horner7, Ryan E Mewis1, Oliver B Sutcliffe1,2.   

Abstract

In recent years, the occurrence of synthetic opioid fentanyl and its derivatives has grown significantly in forensic casework. This study presents the synthesis and analysis of 18 fentalogs, selected based on information received from local law enforcement. This study provides colorimetric tests, thin-layer chromatography (TLC) which can potentially be utilized for presumptive screening of the target compounds, as bulk powders or as trace-level adulterants. The fully validated confirmatory GC-MS method (employing SIM mode) allows the identification of the 18 derivatives, five commonly encountered controlled substances and four adulterants, within 20 minutes. The cross-validated method described herein provides a sensitive screening and quantitation method for the illicit (and potentially harmful) components at trace levels (LOD = 0.007-0.822 μg/mL and LOQ = 0.023-2.742 μg/mL respectively). Spectral data [1 H-NMR, 13 C-NMR, 19 F-NMR, FT-IR, and HRMS] and assignments for the synthesized reference materials are also provided in the Supplementary Information for laboratories engaged in the routine analysis of fentanyl and its derivatives.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  characterization, fentalogs, fentanyl, GC-EI-MS, synthetic opioids, triage

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Substances:

Year:  2020        PMID: 31989755     DOI: 10.1002/dta.2771

Source DB:  PubMed          Journal:  Drug Test Anal        ISSN: 1942-7603            Impact factor:   3.345


  2 in total

1.  [Analysis of 29 fentanyl analogs and their fragmentation mechanism by liquid chromatography-quadrupole time-of-flight mass spectrometry].

Authors:  Zhenlin Dong; Chunguang Yang; Tian Xu; Di Dai; Lu Gao; Lu Yang; Qiuyan Wang
Journal:  Se Pu       Date:  2022-01

2.  Augmentation of MS/MS Libraries with Spectral Interpolation for Improved Identification.

Authors:  Ethan King; Richard Overstreet; Julia Nguyen; Danielle Ciesielski
Journal:  J Chem Inf Model       Date:  2022-07-29       Impact factor: 6.162

  2 in total

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