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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
RSC
2023
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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. |
format | Online Article Text |
id | pubmed-10408571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | RSC |
record_format | MEDLINE/PubMed |
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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