Presumptive tests for xylazine-a computer vision approach

Research output: Contribution to journalArticlepeer-review

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 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.
Original languageEnglish
Article numbere70008
Number of pages16
JournalAnalytical Science Advances
Volume6
Issue number1
Early online date1 Apr 2025
DOIs
Publication statusE-pub ahead of print - 1 Apr 2025

Funding

UKResearch and Inovation (UKRI), c/o Medical Research Council, Grant Number: MR/T043458/1

Keywords

  • spot test
  • computer vision
  • cameras
  • imaging
  • reaction monitoring

Fingerprint

Dive into the research topics of 'Presumptive tests for xylazine-a computer vision approach'. Together they form a unique fingerprint.

Cite this