Teaching old presumptive tests new digital tricks with computer vision for forensic applications

Nathalie Bugeja, Cameron Oliver, Nicole McGrath, Jake McGuire, Chunhui Yan, Felicity Carlysle-Davies, Marc Reid

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
30 Downloads (Pure)

Abstract

Presumptive (or ‘spot’) tests have served forensic scientists, law enforcement, and legal practitioners for over a hundred years. Yet, the intended design of such tests, enabling quick identification of drugs by-eye, also hides their full potential. Here, we report the development and application of time-resolved imaging methods of reactions attending spot tests for amphetamines, barbiturates, and benzodiazepines. Analysis of the reaction videos helps distinguish drugs within the same structural class that, by-eye, are judged to give the same qualitative spot test result. It is envisaged that application of these results will bridge the existing suite of field and lab-based confirmatory forensic tests, and support a broader range of colorimetric sensing technologies.
Original languageEnglish
Pages (from-to)1143-1151
Number of pages9
JournalDigital Discovery
Volume2
Issue number4
Early online date28 Jun 2023
DOIs
Publication statusPublished - 1 Aug 2023

Funding

The authors thank colleagues Alex Clunie, Lynn Curran, and Margaret Robinson, in the Centre for Forensic Science at the University of Strathclyde, for their support in acquiring and safe managing of the analytical samples of the drugs required for this study. MR thanks UK Research & Innovation for Future Leaders Fellowship funding (MR/T043458/1).

Keywords

  • chemical presumptive tests
  • drug testing
  • spot tests
  • computer vision
  • forensics

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