THC detection in the breath.


Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
15 Jan 2021
Historique:
received: 08 07 2020
revised: 05 08 2020
accepted: 06 08 2020
entrez: 10 11 2020
pubmed: 11 11 2020
medline: 15 5 2021
Statut: ppublish

Résumé

Cannabis legalization and common use has further driven the need for accurate THC detection and analysis for roadside testing. While reliable and accurate techniques, such as mass spectrometry (MS) exist for the analysis of THC, the market lacks technologies that are portable and can be utilized outside of a laboratory setting. Innovations utilizing unique technologies have steadily been increasing. These include carbon nanotubes, specifically semiconductor-enriched single-walled carbon nanotube (s-SWCNT) chemiresistors and carbon nanotubes with integrated molecularly imprinted polymers (MIPs), giant magnetoresistive (GMR) biosensors, capillary electrophoresis (CE) with ultraviolet light-emitting diode-induced native fluorescence (UV-LEDIF), and electrochemical detection with the use of screen printed carbon electrodes and N-(4-amino-3-methoxyphenyl)-methanesulfonamide. Finally, a novel device has been recently launched to detect THC in the breath with the use of TLC and fluorescent probes. This review highlights the technologies that have been, and are being, explored to ultimately lead to a portable road-side test for THC once further testing in practice has been completed.

Identifiants

pubmed: 33167238
pii: S0039-9140(20)30819-5
doi: 10.1016/j.talanta.2020.121528
pii:
doi:

Substances chimiques

Nanotubes, Carbon 0
Dronabinol 7J8897W37S

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

121528

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Veronika Ramzy (V)

Massachusetts College of Pharmacy and Health Sciences University, Boston, MA, 02115, USA.

Ronny Priefer (R)

Massachusetts College of Pharmacy and Health Sciences University, Boston, MA, 02115, USA. Electronic address: ronny.priefer@mcphs.edu.

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Classifications MeSH