Literature DB >> 32453873

Discrimination of legal and illegal Cannabis spp. according to European legislation using near infrared spectroscopy and chemometrics.

Céline Duchateau1,2, Jean-Michel Kauffmann1, Michaël Canfyn2, Caroline Stévigny1, Kris De Braekeleer1, Eric Deconinck1,2.   

Abstract

Aerial parts containing cannabidiol can be purchased in a legal way but cannabis used as recreational drug is illegal in most European countries. Δ9-tetrahydrocannabinol is one of the main cannabinoids responsible for the psychotropic effect. European Union countries and Switzerland authorize a concentration of THC of 0.2 % and 1.0 % w/w, respectively, for smoking products and industrial hemp. Public health inspectors and law enforcement officers need to check the legality of samples. Therefore there is a need for innovative approaches, allowing quality control of these products in an easy way and preferably on site. In many countries, cultivation of industrial hemp is permitted if the THC content does not exceed 0.2 % w/w. A portable equipment could be a useful measuring tool for farmers to check for the THC content at regular time. In this work, 189 samples were analysed with a benchtop and a handheld NIR device in order to create two classification methods according to European and Swiss laws. All samples were also analysed by GC-FID to determine their THC concentration. Supervised analysis was applied in order to establish the best model. For the first classification, the accuracy was 91% for the test set with the benchtop data and 93 % for the test set with the handheld data. For the second classification, the accuracies were respectively 91 % and 95 %. The obtained models, hyphenating spectroscopic techniques and chemometrics, enable to discriminate legal and illegal cannabis samples according to European and Swiss laws.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Cannabis; Chemometrics; European legislation; Handheld; Near infrared spectroscopy

Year:  2020        PMID: 32453873     DOI: 10.1002/dta.2865

Source DB:  PubMed          Journal:  Drug Test Anal        ISSN: 1942-7603            Impact factor:   3.345


  2 in total

Review 1.  Analytical Techniques for Phytocannabinoid Profiling of Cannabis and Cannabis-Based Products-A Comprehensive Review.

Authors:  Gjoshe Stefkov; Ivana Cvetkovikj Karanfilova; Veronika Stoilkovska Gjorgievska; Ana Trajkovska; Nikola Geskovski; Marija Karapandzova; Svetlana Kulevanova
Journal:  Molecules       Date:  2022-02-01       Impact factor: 4.411

2.  Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.).

Authors:  Yuzhen Lu; Sierra Young; Eric Linder; Brian Whipker; David Suchoff
Journal:  Front Plant Sci       Date:  2022-02-02       Impact factor: 5.753

  2 in total

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