Electrochemical sensors for fast classification of different Cannabis sativa L. samples according to total Δ9-tetrahydrocannabinol content
Year: 2024
Type: article
Abstract: In this work, we investigated the ability of an electrochemical sensor to recognize Cannabis sativa L. samples with different total content of Δ 9 -tetrahydrocannabinol (Δ 9 -THC), determined by the levels of the psychoactive cannabinoid and of its biosynthetic precursor Δ 9 -tetrahydrocannabinolic acid (Δ 9 -THCA), using a multivariate approach. The voltammetric responses recorded with screen-printed electrodes modified with carbon black reflected the compositional differences from the different samples, in terms of cannabinoids of the vegetal material. PLS-DA models allowed for the correct classification of most C. sativa samples into the classes of legal and illegal samples according to total Δ 9 -THC content, based on threshold limits defined by the EU/US (0.3 % w/w) and Italian (0.6 % w/w) regulations. Satisfactory results were achieved in both cases, obtaining classification efficiency values in prediction of the external test set equal to 85 % and 100 % for the EU/US and Italian thresholds, respectively. The obtained results suggest the possibility to consider the proposed method as a starting point for the implementation of an automated device for rapid prescreening of total Δ 9 -THC content directly on site. • Fast classification of legal and illegal Cannabis sativa L. samples is proposed. • 100 Cannabis sativa L. samples were analyzed by modified screen-printed electrodes. • Multivariate classification models were built according to Δ 9 -THC content. • Good classification results were achieved using legal limits of EU/US and Italy. • A device for rapid onsite prescreening could be implemented with this approach.
Source: Talanta
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,290
OpenAlex ID: W4402945216