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Presumptive Tests for Xylazine-A Computer Vision Approach.

Hui Yun Chang1, Kristin Donnachie1, Timothy J D McCabe1

  • 1Department of Pure and Applied Chemistry University of Strathclyde Glasgow UK.

Analytical Science Advances
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PubMed
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Xylazine detection is improved using presumptive tests with computer vision analysis. This method quantifies color changes, differentiating xylazine from other illicit drugs for better public health surveillance.

Area of Science:

  • Forensic Chemistry
  • Analytical Chemistry
  • Public Health

Background:

  • Xylazine abuse is a growing global public health crisis.
  • Current detection methods for xylazine in illicit substances have limitations.
  • Need for rapid and reliable identification of xylazine in drug samples.

Purpose of the Study:

  • To develop and validate a novel presumptive testing strategy for xylazine.
  • To differentiate xylazine from other common illicit drugs using colorimetric spot tests.
  • To quantify test results using computer vision for objective analysis.

Main Methods:

  • Utilized Mandelin, Marquis, and Mecke presumptive test reagents with xylazine.
  • Applied image and video analysis using Kineticolor software.
Keywords:
camerascomputer visionforensicsreaction monitoringspot test

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  • Compared colorimetric responses of xylazine against morphine, fentanyl, heroin, and methamphetamine.

    • Main Results:

    • Observed distinct and measurable color changes for xylazine with the tested reagents.
    • Quantified colorimetric features to differentiate xylazine from other substances.
    • Developed protocols for qualitative and quantitative analysis of presumptive tests for xylazine.

    Conclusions:

    • This study presents the first presumptive test strategy for specific and quantifiable xylazine detection.
    • The developed method shows potential for field-ready application in drug analysis.
    • Computer vision analysis overcomes subjective limitations of traditional spot tests.