Xylazine-A计算机视觉方法的推定测试

IF 4.1 Q2 CHEMISTRY, ANALYTICAL
Hui Yun Chang, Kristin Donnachie, Timothy J. D. McCabe, Henry Barrington, Felicity Carlysle-Davies, Kristin Ceniccola-Campos, Marc Reid
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引用次数: 0

摘要

滥用噻嗪是一个迫在眉睫的全球公共卫生问题。我们报告了当二甲肼暴露于曼德林,马奎斯和梅克推定测试试剂时,明显和可测量的颜色变化。用噻嗪观察到的颜色变化不同于那些从相同的假定测试中产生颜色变化的药物。为了克服肉眼确定现场测试结果的主观局限性,我们应用图像和视频分析来量化用噻嗪进行的假定测试的独特特征,从而将其与在相同条件下测试的其他非法物质(包括吗啡、芬太尼、海洛因和甲基苯丙胺)区分开来。在此,利用Kineticolor(一种计算机视觉软件)开发了实验方案,以定性和定量地研究二甲肼检测的假定测试。据我们所知,这些发现代表了第一个针对特定的,可量化的和潜在的现场准备检测的推定测试策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Presumptive Tests for Xylazine—A Computer Vision Approach

Presumptive Tests for Xylazine—A Computer Vision Approach

Presumptive Tests for Xylazine—A Computer Vision Approach

Presumptive Tests for Xylazine—A Computer Vision Approach

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. To overcome the subjective limitations of determining spot test results by-eye, we applied image and video analyses to quantify the distinctive features of presumptive tests with xylazine and thus differentiate it from other illicit substances tested under the same conditions, including morphine, fentanyl, heroin and methamphetamine. Herein, experimental protocols utilising 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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CiteScore
4.60
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