Presumptive Tests for Xylazine – A Computer Vision Approach

13 December 2024, Version 2
This content is a preprint and has not undergone peer review at the time of posting.

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.

Keywords

computer vision
imaging
forensics
illicit drugs
presumptive test
spot test
xylazine

Supplementary materials

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Description
Actions
Title
Machine readable supporting information
Description
Machine-readable files related to 3D printing CAD files, computer vision data, and NMR analysis.
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Supplementary weblinks

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