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The development of an electrochemical sensing device for controlled drugs.

Waddell, Stuart Andrew

Authors

Stuart Andrew Waddell



Contributors

Pat Pollard
Supervisor

Catherine Inverarity
Supervisor

Abstract

Forensic chemists can be faced with a wide array of substances to test when attending clandestine drug manufacture crime scenes. Whilst many techniques exist at their disposal - such as chemical colour test reagents and immunoassays - these methods are at best semi-quantitative and often subject to false positives. Electrochemical methods of detection offer a potential solution to this problem, as the equipment is portable, cheap and robust. The analysis is quantitative and, if the electrode/electrolyte combination is designed properly, it can be extremely sensitive and selective. The scientific literature contains many examples of voltammetric analyses of controlled drugs. A square wave voltammetric analysis of the novel psychoactive substance benzyl-piperazine is reported here, representing the first time this analysis has been established. A limit of detection of 6 μM was achieved, and resolution against the similar ecstasy-type drug 3-4-methylenedioxymethylamphetamine (MDMA) was demonstrated. Two innovative USB powered prototype potentiostats have been developed. As proof of concept, an ATMega328P microcontroller was used in conjunction with 12-bit digital-to-analog and analog-to-digital converters (MAX532 and MCP3304 respectively). Using ferricyanide for redox at a glassy carbon electrode, reversible cyclic voltammetric analyses and square wave linear calibration (2.7 to 13.7 μM, R2=0.998) were achieved by the first prototype. The second prototype extended the compliance range (from ±2.5 V to ±12 V) and improved the signal to noise ratio. The second prototype also achieved a linear calibration using square wave voltammetry of MDMA (41 to 82 μM, R2=0.995) at a carbon paste electrode.

Citation

WADDELL, S.A. 2019. The development of an electrochemical sensing device for controlled drugs. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1677791

Thesis Type Thesis
Deposit Date May 31, 2022
Publicly Available Date May 31, 2022
DOI https://doi.org/10.48526/rgu-wt-1677791
Keywords Electrochemical forensics; Forensics; Drug detection; Drug sensing
Public URL https://rgu-repository.worktribe.com/output/1677791
Award Date Nov 30, 2019

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