Literature DB >> 30954004

Identification of closely related new psychoactive substances (NPS) using solid deposition gas-chromatography infra-red detection (GC-IRD) spectroscopy.

Hui Zhi Shirley Lee1, Hui Boon Koh2, Sylvia Tan2, Ben Justin Goh2, Rachael Lim2, Jong Lee Wendy Lim2, Tiong Whei Angeline Yap2.   

Abstract

The challenges associated with the identification of new NPS have become more apparent with the increasing number of new drugs in the market and the need to identify the specific isomer due to legislation concomitant with the lack of reference standards for comparison. A recent new tandem technique, solid deposition gas chromatography-infra red detection spectroscopy (GC-IRD), which incorporates the GC for the separation of the different components in the sample matrix and infrared red (IR) spectroscopy which provides unique IR spectra of each component, has provided the necessary discrimination for the identification of isomers. This paper presents the identification and the application of an algorithm-based criteria (ABC) for the evaluation of the quality match factor (QMF) as an objective critical criteria in determining the correctness of an identification of close analogues in four classes of compounds; namely the JWH-018 and its structural isomers, AM-2201 and its fluoro positional isomers in the pentyl group, methylmethcathinone (MMC) and its methyl positional isomers in the phenyl ring, and dibutylone and its close analogues.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Algorithm based criteria; GC–IRD; NPS; Quality match factor

Year:  2019        PMID: 30954004     DOI: 10.1016/j.forsciint.2019.03.025

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  2 in total

1.  United Nations Office on Drugs and Crime: Recommended methods for the Identification and Analysis of Synthetic Cannabinoid Receptor Agonists in Seized Materials.

Authors:  Justice N A Tettey; Conor Crean; Joao Rodrigues; Tiong Whei Angeline Yap; Jong Lee Wendy Lim; Hui Zhi Shirley Lee; Mei Ching
Journal:  Forensic Sci Int       Date:  2021-02-04       Impact factor: 2.395

2.  Utilization of Machine Learning for the Differentiation of Positional NPS Isomers with Direct Analysis in Real Time Mass Spectrometry.

Authors:  Jennifer L Bonetti; Saer Samanipour; Arian C van Asten
Journal:  Anal Chem       Date:  2022-03-17       Impact factor: 6.986

  2 in total

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