Journal
JOURNAL OF MATERIALS CHEMISTRY B
Volume 9, Issue 8, Pages 2107-2117Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/d0tb02951c
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Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC) [06096]
- Alberta Innovates
- Canadian Microelectronics Corporation (CMC microsystem) [CMC_Microfab_6743]
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The study demonstrates the use of unfunctionalized organic electrochemical transistors for detecting delta-9-tetrahydrocannabinol (Delta(9)-THC) in water and synthetic saliva buffer. By coupling a platinum gate with aerosol jet printed OECT, the concentration of Delta(9)-THC can be detected through its oxidation reaction. The OECT-based sensors show high sensitivity in detecting Delta(9)-THC with less than 3% error and good repeatability.
Recreational use of marijuana/cannabis was legalized in Canada in 2018 and has been decriminalized in several other countries; however, the detection of impairment has remained elusive for law enforcement. The psychoactive ingredient in cannabis, delta-9-tetrahydrocannabinol (Delta(9)-THC), can be detected in saliva and be correlated well with the intake of cannabis. Organic electrochemical transistors (OECTs) have been used for a variety of biosensing applications like glucose, pH, ions, etc. In this work, we demonstrate the use of unfunctionalized OECTs for the detection of Delta(9)-THC down to 0.1 nM and 1 nM diluted in DI water and synthetic saliva buffer, respectively. These OECTs have been aerosol jet printed entirely with PEDOT:PSS as the channel material. Using a platinum gate coupled with an aerosol jet printed OECT, Delta(9)-THC concentration can be detected due to its oxidation reaction at the gate. These results were consistent with cyclic voltammetry measurements of Delta(9)-THC using Pt as the working and counter electrode. Utilizing these OECT based sensors, we have achieved high sensitivity of detection of Delta(9)-THC in the range from 0.1 nM to 5 mu M. These OECT based Delta(9)-THC sensors demonstrate less than 3% error indicating good repeatability which is averaged over 15 measurements on multiple devices.
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