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Real time quantitative colourimetric test for methamphetamine detection using digital and mobile phone technology.

Aree Choodum¹, Kaewalee Parabun², Nantikan Klawach²

¹Department of Applied Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand; Trace Analysis and Biosensor Research Center, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand.

Forensic Science International

|January 23, 2014

Summary

This study presents a mobile phone method for detecting methamphetamine using the Simon presumptive color test and RGB color data. The method offers a low detection limit and precision, suitable for field testing.

Keywords:

Colourimetric detection Drug presumptive test Methamphetamine RGB color system iPhone app

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Area of Science:

Analytical Chemistry
Forensic Science
Mobile Technology

Background:

The need for rapid and accessible drug detection methods is critical.
Traditional methods for methamphetamine detection can be time-consuming and require specialized equipment.
Mobile technology offers potential for portable and real-time analytical applications.

Purpose of the Study:

To develop and validate a novel method for detecting methamphetamine using a mobile phone.
To investigate the correlation between Red-Green-Blue (RGB) color data and colorimetric products from the Simon test.
To assess the feasibility of this method for field-based presumptive testing.

Main Methods:

Utilized the Simon presumptive color test for methamphetamine detection.
Employed a mobile phone's built-in digital camera and a dedicated application to capture real-time RGB color data.
Analyzed the relationship between RGB intensity, calculated values, and colorimetric product formation.
Validated the method using gas chromatograph-flame ionization detector (GC-FID) analysis for comparison.

Main Results:

Achieved a wide linear range (0.1-2.5 mg mL⁻¹) and a low detection limit (0.0110–0.044 mg mL⁻¹).
Required a minimal sample volume (20 μL).
Demonstrated good intra- and inter-day precision (RSD < 5.62%).
Results from illicit methamphetamine tablets correlated well with GC-FID analysis.

Conclusions:

The developed mobile phone-based method is a powerful tool for real-time methamphetamine detection.
The method shows significant potential for application in field tests due to its portability and sensitivity.
This approach offers a promising alternative for rapid presumptive drug identification.