Integration of smart nanomaterials for highly selective disposable sensors and their forensic applications in amphetamine determination.

• Electroactive molecularly imprinted polymer nanoparticles (nanoMIPs) are robust actuators due to their polymeric nature. • Graphene-assisted nanoMIPs-based sensors are easily integrated and compatible with the mass production of sensor devices. • Sensors were evaluated on spiked human plasma and street samples,also validated successfully using UPLC-MS. • NanoMIP-based sensors can be applied in clinical and forensic analysis. Screening drugs on the street and biological samples pose a challenge to law enforcement agencies due to existing detection methods and instrument limitations. Herein we present a graphene-assisted molecularly imprinted polymer nanoparticle-based sensor for amphetamine. These nanoparticles are electroactive by incorporating ferrocene in their structure. These particles act as specific actuators in electrochemical sensors, and the presence of a ferrocene redox probe embedded in the structure allows the detection of non-electroactive amphetamine. In a control approach, nanoparticles were covalently immobilised onto electrochemical sensors by drop-casting using silanes. Alternatively, nanoparticles were immobilised employing 3D printing and a graphene ink composite. The electrochemical performance of both approaches was evaluated. As a result, 3D printed nanoMIPs/graphene sensors displayed the highest selectivity in spiked human plasma, with sensitivity at 73 nA nM−1, LOD of 68 nM (RSD 2.4%) when compared to the silane drop cast electrodes. The main advantage of the optimised 3D printing technology is that it allows quantitative determination of amphetamine, a non-electroactive drug, challenging to detect with conventional electrochemical sensors. In addition, the cost-efficient 3D printing method makes these sensors easy to manufacture, leading to robust, highly selective and sensitive sensors. As proof of concept, sensors were evaluated on the street specimens and clinically relevant samples and successfully validated using UPLC-MS. [ABSTRACT FROM AUTHOR]