| Literature DB >> 31321969 |
Sean I Hwang1, Nicholas G Franconi2, Michael A Rothfuss2, Kara N Bocan2, Long Bian1, David L White1, Seth C Burkert1, Raymond W Euler1, Brett J Sopher1, Miranda L Vinay1, Ervin Sejdic2, Alexander Star1.
Abstract
Semiconductor-enriched single-walled carbon nanotubes (s-SWCNTs) have potential for application as a chemiresistor for the detection of breath compounds, including tetrahydrocannabinol (THC), the main psychoactive compound found in the marijuana plant. Herein we show that chemiresistor devices fabricated from s-SWCNT ink using dielectrophoresis can be incorporated into a hand-held breathalyzer with sensitivity toward THC generated from a bubbler containing analytical standard in ethanol and a heated sample evaporator that releases compounds from steel wool. The steel wool was used to capture THC from exhaled marijuana smoke. The generation of the THC from the bubbler and heated breath sample chamber was confirmed using ultraviolet-visible absorption spectroscopy and mass spectrometry, respectively. Enhanced selectivity toward THC over more volatile breath components such as CO2, water, ethanol, methanol, and acetone was achieved by delaying the sensor reading to allow for the desorption of these compounds from the chemiresistor surface. Additionally, machine learning algorithms were utilized to improve the selective detection of THC with better accuracy at increasing quantities of THC delivered to the chemiresistor.Entities:
Keywords: CNT; THC; breath analysis; breathalyzer; chemiresistor; machine learning; sensor; tetrahydrocannabinol
Year: 2019 PMID: 31321969 DOI: 10.1021/acssensors.9b00762
Source DB: PubMed Journal: ACS Sens ISSN: 2379-3694 Impact factor: 7.711