JOURNAL ARTICLE

Organic Thin Film Transistor-Based Cannabinoid Sensors

Benoît H. Lessard

Year: 2024 Journal:   ACS Applied Electronic Materials Vol: 6 (5)Pages: 3006-3012   Publisher: American Chemical Society

Abstract

The legalization of cannabis for medical and recreational use has created global legal markets, resulting in economic growth and job opportunities. Δ9-Tetrahydrocannabinol (THC) and the nonpsychoactive cannabidiol (CBD) are the primary bioactive compounds from the plant Cannabis sativa and sensors for their detection are vital for monitoring the effects on patients, understanding strain effects, and ensuring accurate potency information. Current detection methods require specialized facilities, making low-cost hand-held sensors desirable for public safety, regulatory compliance, and industry efficiency. Electrical sensors, such as organic thin-film transistors (OTFTs), offer advantages over optical sensors, and metal phthalocyanines (MPcs) show promise as an active semiconducting sensing material. Through both molecular interactions and thin film reorganization, MPc-based OTFTs have been demonstrated to enable the detection and differentiation of THC and CBD both in the vapor and solution. This spotlight article discusses recent advances in the discovery and optimization of MPc based THC and CBD OTFT sensors and highlights their promising future.

Keywords:
Cannabidiol Thin-film transistor Materials science Cannabis sativa Nanotechnology Transistor Cannabis Electrical engineering Engineering Layer (electronics) Medicine Voltage

Metrics

5
Cited By
1.85
FWCI (Field Weighted Citation Impact)
46
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Organic Electronics and Photovoltaics
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Conducting polymers and applications
Physical Sciences →  Materials Science →  Polymers and Plastics
Luminescence and Fluorescent Materials
Physical Sciences →  Materials Science →  Materials Chemistry

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