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

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...

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Autores principales: Bugeja, Nathalie, Oliver, Cameron, McGrath, Nicole, McGuire, Jake, Yan, Chunhui, Carlysle-Davies, Felicity, Reid, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: RSC 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408571/
https://www.ncbi.nlm.nih.gov/pubmed/38013815
http://dx.doi.org/10.1039/d3dd00066d
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author Bugeja, Nathalie
Oliver, Cameron
McGrath, Nicole
McGuire, Jake
Yan, Chunhui
Carlysle-Davies, Felicity
Reid, Marc
author_facet Bugeja, Nathalie
Oliver, Cameron
McGrath, Nicole
McGuire, Jake
Yan, Chunhui
Carlysle-Davies, Felicity
Reid, Marc
author_sort Bugeja, Nathalie
collection PubMed
description 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.
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spelling pubmed-104085712023-08-09 Teaching old presumptive tests new digital tricks with computer vision for forensic applications Bugeja, Nathalie Oliver, Cameron McGrath, Nicole McGuire, Jake Yan, Chunhui Carlysle-Davies, Felicity Reid, Marc Digit Discov Chemistry 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. RSC 2023-06-28 /pmc/articles/PMC10408571/ /pubmed/38013815 http://dx.doi.org/10.1039/d3dd00066d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Bugeja, Nathalie
Oliver, Cameron
McGrath, Nicole
McGuire, Jake
Yan, Chunhui
Carlysle-Davies, Felicity
Reid, Marc
Teaching old presumptive tests new digital tricks with computer vision for forensic applications
title Teaching old presumptive tests new digital tricks with computer vision for forensic applications
title_full Teaching old presumptive tests new digital tricks with computer vision for forensic applications
title_fullStr Teaching old presumptive tests new digital tricks with computer vision for forensic applications
title_full_unstemmed Teaching old presumptive tests new digital tricks with computer vision for forensic applications
title_short Teaching old presumptive tests new digital tricks with computer vision for forensic applications
title_sort teaching old presumptive tests new digital tricks with computer vision for forensic applications
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10408571/
https://www.ncbi.nlm.nih.gov/pubmed/38013815
http://dx.doi.org/10.1039/d3dd00066d
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