<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Eric Deconinck</style></author><author><style face="normal" font="default" size="100%">Camille Ait-Kaci</style></author><author><style face="normal" font="default" size="100%">Andries Raes</style></author><author><style face="normal" font="default" size="100%">Michael Canfyn</style></author><author><style face="normal" font="default" size="100%">Bothy, Jean-Luc</style></author><author><style face="normal" font="default" size="100%">Céline Duchateau</style></author><author><style face="normal" font="default" size="100%">Corenthin Mees</style></author><author><style face="normal" font="default" size="100%">Kris de Braeckeleer</style></author><author><style face="normal" font="default" size="100%">L. Gremeaux</style></author><author><style face="normal" font="default" size="100%">Peter Blanckaert</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An infrared spectroscopic approach to characterise white powders, easily applicable in the context of drug checking, drug prevention and on-site analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Drug Testing and Analysis</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">ATR-(N)IR</style></keyword><keyword><style  face="normal" font="default" size="100%">Chemometrics</style></keyword><keyword><style  face="normal" font="default" size="100%">illicit drugs</style></keyword><keyword><style  face="normal" font="default" size="100%">Mobile detection approaches</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">693</style></number><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;More and more events, such as the summer music festivals, are considering the&lt;/p&gt;

&lt;p&gt;possibilities for implementing on-site testing of psychoactive drugs in the context of&lt;/p&gt;

&lt;p&gt;prevention and harm reduction. Although the on-site identification is already&lt;/p&gt;

&lt;p&gt;implemented by plenty of drug checking services, the required rapid quantitative&lt;/p&gt;

&lt;p&gt;dosing of the composition of illicit substances is still a missing aspect for a successful&lt;/p&gt;

&lt;p&gt;harm reduction strategy at events. In this paper, an approach is presented to identify&lt;/p&gt;

&lt;p&gt;white powders as amphetamine, cocaine, ketamine or others and to estimate the&lt;/p&gt;

&lt;p&gt;purity of the amphetamine, cocaine and ketamine samples using spectroscopic&lt;/p&gt;

&lt;p&gt;techniques hyphenated with partial least squares (PLS) modelling. For identification&lt;/p&gt;

&lt;p&gt;purposes, it was observed that mid-infrared spectroscopy hyphenated with&lt;/p&gt;

&lt;p&gt;PLS-discriminant analysis allowed the distinction between amphetamine, cocaine,&lt;/p&gt;

&lt;p&gt;ketamine and other samples and this with a correct classification rate of 93.1% for an&lt;/p&gt;

&lt;p&gt;external test set. For quantitative estimation, near-infrared spectroscopy was more&lt;/p&gt;

&lt;p&gt;performant and allowed the estimation of the dosage/purity of the amphetamine,&lt;/p&gt;

&lt;p&gt;cocaine and ketamine samples with an error of more or less 10% w/w. An easily&lt;/p&gt;

&lt;p&gt;applicable, practical and cost-effective approach for on-site characterisation of the&lt;/p&gt;

&lt;p&gt;majority of the psychoactive samples encountered in Belgian nightlife settings based&lt;/p&gt;

&lt;p&gt;on IR spectroscopy was proposed.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">13</style></issue><section><style face="normal" font="default" size="100%">679</style></section></record></records></xml>