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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
|April 3, 2025
Summary
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.
- 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.
