Differentiation among peroxide explosives with an optoelectronic nose

Area of Science:

• Analytical Chemistry
• Forensic Science
• Chemical Sensing

Background:

• Homemade explosives (HME) present significant forensic identification challenges.
• Peroxide-based explosives require specialized analytical methods for reliable differentiation.
• Field-deployable techniques are crucial for rapid forensic analysis.

Purpose of the Study:

• To develop and validate a field-appropriate method for differentiating peroxide-based homemade explosives.
• To assess the efficacy of a colorimetric sensor array and handheld scanner for HME analysis.
• To achieve high classification accuracy in distinguishing various peroxide explosive formulations.

Main Methods:

• Utilized a colorimetric sensor array coupled with a handheld scanner.
• Developed a field-appropriate sampling protocol for explosive samples.
• Analyzed twelve distinct peroxide-based explosive samples prepared from different reagents.
• Employed chemometric analysis for data interpretation and classification.

Main Results:

• Demonstrated clear discrimination among twelve peroxide-based explosive samples.
• Achieved a classification accuracy exceeding 98% for differentiating the samples.
• The developed method proved effective for forensic identification in a simulated field setting.

Conclusions:

• The colorimetric sensor array and handheld scanner provide a robust and accurate method for forensic identification of peroxide explosives.
• This approach offers a practical solution for field analysis of HME, enhancing law enforcement capabilities.
• The high classification accuracy supports the utility of this technology in real-world forensic scenarios.