Literature DB >> 33197122

An infrared spectroscopic approach to characterise white powders, easily applicable in the context of drug checking, drug prevention and on-site analysis.

Eric Deconinck1,2, Camille Aït-Kaci1,2, Andries Raes1, Michaël Canfyn1, Jean-Luc Bothy1, Céline Duchateau1,2, Corenthin Mees2, Kris De Braekeleer2, Lies Gremaux3, Peter Blanckaert3.   

Abstract

More and more events, such as the summer music festivals, are considering the possibilities for implementing on-site testing of psychoactive drugs in the context of prevention and harm reduction. Although the on-site identification is already implemented by plenty of drug checking services, the required rapid quantitative dosing of the composition of illicit substances is still a missing aspect for a successful harm reduction strategy at events. In this paper, an approach is presented to identify white powders as amphetamine, cocaine, ketamine or others and to estimate the purity of the amphetamine, cocaine and ketamine samples using spectroscopic techniques hyphenated with partial least squares (PLS) modelling. For identification purposes, it was observed that mid-infrared spectroscopy hyphenated with PLS-discriminant analysis allowed the distinction between amphetamine, cocaine, ketamine and other samples and this with a correct classification rate of 93.1% for an external test set. For quantitative estimation, near-infrared spectroscopy was more performant and allowed the estimation of the dosage/purity of the amphetamine, cocaine and ketamine samples with an error of more or less 10% w/w. An easily applicable, practical and cost-effective approach for on-site characterisation of the majority of the psychoactive samples encountered in Belgian nightlife settings based on IR spectroscopy was proposed.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  ATR-(N)IR; chemometrics; illicit drugs; mobile detection approaches

Year:  2020        PMID: 33197122     DOI: 10.1002/dta.2973

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


  3 in total

1.  Relative response factors and multiple regression models in liquid chromatography to quantify low-dosed components using alternative standards-proof of concept: total Δ9-THC content in cannabis flowers using CBD as reference.

Authors:  Cedric De Leersnijder; Céline Duchateau; Kris De Braekeleer; Eric Deconinck
Journal:  Anal Bioanal Chem       Date:  2022-07-04       Impact factor: 4.478

Review 2.  Photoluminescent carbon nanomaterials for sensing of illicit drugs: focus.

Authors:  Shihchun Wei; Hsinhua Liang; Yijia Li; Yaote Yen; Yihui Lin; Huantsung Chang
Journal:  Anal Sci       Date:  2022-03-22       Impact factor: 1.967

Review 3.  A Realist Review of How Community-Based Drug Checking Services Could Be Designed and Implemented to Promote Engagement of People Who Use Drugs.

Authors:  Wendy Masterton; Danilo Falzon; Gillian Burton; Hannah Carver; Bruce Wallace; Elizabeth V Aston; Harry Sumnall; Fiona Measham; Rosalind Gittins; Vicki Craik; Joe Schofield; Simon Little; Tessa Parkes
Journal:  Int J Environ Res Public Health       Date:  2022-09-22       Impact factor: 4.614

  3 in total

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