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Digital image-based colourimetric [corrected] tests for amphetamine and methylamphetamine.

Aree Choodum1, Niamh Nic Daeid

  • 1Centre for Forensic Science, Department of Pure and Applied Chemistry, WestCHEM, University of Strathclyde, 204 George Street, Glasgow G11WX, UK.

Drug Testing and Analysis
|March 10, 2011
PubMed
Summary
This summary is machine-generated.

Digital image analysis of colorimetric tests offers a new field method for detecting amphetamine and methylamphetamine. This technique provides accurate, semi-quantitative results comparable to gas chromatography.

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Area of Science:

  • Forensic Chemistry
  • Analytical Chemistry
  • Digital Imaging

Background:

  • Colorimetric tests are common for drug screening.
  • Accurate quantification of illicit substances in the field can be challenging.
  • Digital image analysis offers potential for objective data extraction.

Purpose of the Study:

  • To evaluate digital image analysis using Adobe Photoshop for quantifying amphetamine and methylamphetamine from colorimetric tests.
  • To establish the feasibility of this method for analyzing illicit drug samples.
  • To compare the results with established methods like gas chromatography.

Main Methods:

  • Colorimetric tests for amphetamine and methylamphetamine were performed.
  • Adobe Photoshop was utilized for Red Green Blue (RGB) color value analysis.
  • Calibration curves were generated for each drug.
  • Illicit drug samples were analyzed using the developed digital method.

Main Results:

  • The digital image analysis method demonstrated a wide linear range and low detection limits for both amphetamine and methylamphetamine.
  • Analysis of illicit samples showed good agreement with gas chromatographic quantification.
  • The technique proved effective for semi-quantitative field testing.

Conclusions:

  • Digital image analysis of colorimetric tests is a viable and promising semi-quantitative field method for amphetamine and methylamphetamine detection.
  • This approach offers an accessible and potentially cost-effective alternative for forensic analysis.
  • Further development could enhance its application in real-world forensic scenarios.