Presumptive Tests for Xylazine – A Computer Vision Approach

Marc, Reid, Hui Yun, Chang, Kristin, Donnachie, Timothy J.D., McCabe, Felicity, Carlysle-Davies, Kristin, Ceniccola-Campos, Henry, Barrington
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Abstract

Abuse of xylazine is an immediate global public health concern. We report the distinct and measurable colour changes when xylazine is exposed to the Mandelin, Marquis, and Mecke presumptive test reagents. The colour changes observed with xylazine are distinct from those of drugs that give colour changes from the same presumptive tests. Using single image and video analyses, distinctive features of presumptive tests with xylazine help differentiate it from other illicit substances tested under the same conditions, including morphine, fentanyl, heroin, and methamphetamine. Herein, experimental protocols utilising \textit{Kineticolor}, a computer vision software, were developed to qualitatively and quantitatively study presumptive tests for xylazine detection. To the best of our knowledge, these findings represent the first presumptive test strategy towards specific, quantifiable, and potentially field-ready detection of xylazine.
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甲氧苄啶的推定检验--计算机视觉方法
滥用甲苯噻嗪是一个迫在眉睫的全球公共卫生问题。我们报告了接触 Mandelin、Marquis 和 Mecke 推定测试试剂后,二甲肼所产生的明显且可测量的颜色变化。观察到的甲苯嗪的颜色变化不同于那些通过相同的推定试验产生颜色变化的药物。通过单幅图像和视频分析,木拉西嗪推定测试的显著特征有助于将其与在相同条件下测试的其他非法药物(包括吗啡、芬太尼、海洛因和甲基苯丙胺)区分开来。在此,我们利用计算机视觉软件 \textit{Kineticolor}制定了实验方案,以定性和定量地研究二甲苯嗪检测的推定试验。据我们所知,这些研究结果代表了第一种特异性、可量化、可现场检测的甲基苯丙胺推定检测策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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