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 <i>Kineticolor</i>, 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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Publication Details

Journal
Analytical Science Advances
Published
2025-04-01
DOI
https://doi.org/10.1002/ansa.70008
Citations
3
Primary Topic
Veterinary Pharmacology and Anesthesia
Type
article
Field-Weighted Citation Impact
7.06

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article

Presumptive Tests for Xylazine—A Computer Vision Approach

Felicity Carlysle‐Davies, Kristin Ceniccola, Marc Reid, Henry Barrington et al.
3 citations
Analytical Science Advances
Veterinary Pharmacology and Anesthesia
7.06
article

Presumptive Tests for Xylazine—A Computer Vision Approach

Felicity Carlysle‐Davies, Kristin Ceniccola, Marc Reid, Henry Barrington, Timothy J. McCabe, Hui Chang, Kristin Donnachie
article en
3 citations

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 <i>Kineticolor</i>, 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.

Analytical Science AdvancesVol. 6(1)
University of Strathclyde (GB)
Medical Research Council
Good health and well-being
Openalex Percentile: Top 4%
Veterinary Pharmacology and Anesthesia
7.06
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Presumptive Tests for Xylazine—A Computer Vision Approach — Felicity Carlysle‐Davies, Kristin Ceniccola, et al. · Analytical Science Advances (2025) | TGRS Research Map | TGRS