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甲苯噻嗪的推定检测——一种计算机视觉方法

Presumptive Tests for Xylazine-A Computer Vision Approach.

作者信息

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

机构信息

Department of Pure and Applied Chemistry University of Strathclyde Glasgow UK.

出版信息

Anal Sci Adv. 2025 Apr 1;6(1):e70008. doi: 10.1002/ansa.70008. eCollection 2025 Jun.

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. 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 , 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.

摘要

赛拉嗪滥用是当下全球公共卫生领域的紧迫问题。我们报告了赛拉嗪与曼德林试剂、马奎斯试剂和梅克试剂这些初步检测试剂接触时出现的独特且可测量的颜色变化。赛拉嗪产生的颜色变化与那些在相同初步检测中会产生颜色变化的药物不同。为克服通过肉眼判断斑点试验结果的主观局限性,我们应用图像和视频分析来量化赛拉嗪初步检测的独特特征,从而将其与在相同条件下检测的其他非法物质(包括吗啡、芬太尼、海洛因和甲基苯丙胺)区分开来。在此,我们开发了利用计算机视觉软件的实验方案,以定性和定量研究用于检测赛拉嗪的初步检测。据我们所知,这些发现代表了针对赛拉嗪进行特异性、可量化且可能适用于现场检测的首个初步检测策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bb4/11961553/0dacf6d6dff5/ANSA-6-e70008-g013.jpg

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