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Teaching old presumptive tests new digital tricks with computer vision for forensic applications
Nathalie Bugeja1, Cameron Oliver1, Nicole McGrath1
1Department of Pure and Applied Chemistry, University of Strathclyde Glasgow UK marc.reid.100@strath.ac.uk.
Summary
New time-resolved imaging reveals hidden potential in presumptive drug tests. This method distinguishes drugs within the same class, improving forensic analysis beyond visual inspection.
Area of Science:
- Forensic Chemistry
- Analytical Chemistry
- Chemical Sensing
Background:
- Presumptive (spot) tests are traditional tools for preliminary drug identification in forensic science.
- The visual interpretation of spot tests can limit their discriminatory power, especially for structurally similar compounds.
- Existing methods often require laboratory confirmation, which can be time-consuming.
Purpose of the Study:
- To develop and apply time-resolved imaging for analyzing spot test reactions.
- To enhance the ability to differentiate drugs within the same structural class using spot tests.
- To explore the potential of advanced imaging to bridge field and laboratory forensic testing.
Main Methods:
- Development of time-resolved imaging techniques to capture reaction dynamics.
- Application of these methods to spot tests for amphetamines, barbiturates, and benzodiazepines.
- Analysis of video data to identify distinguishing features in reaction kinetics and visual changes.
Main Results:
- Time-resolved imaging successfully distinguished between drugs that appear identical by-eye using standard spot tests.
- Subtle differences in reaction kinetics and color development were identified as key discriminators.
- The method demonstrated potential for differentiating compounds within the same chemical class.
Conclusions:
- Time-resolved imaging significantly enhances the analytical capabilities of traditional spot tests.
- This approach offers a more nuanced and objective method for preliminary drug identification.
- The findings suggest broader applications in colorimetric sensing and forensic science.

