Potential of NIRS technology for the determination of cannabinoid content in industrial hemp (Cannabis sativa L.)

dc.contributor.authorJarén Ceballos, Carmen
dc.contributor.authorZambrana, P.
dc.contributor.authorPérez Roncal, Claudia
dc.contributor.authorLópez Maestresalas, Ainara
dc.contributor.authorÁbrego Arlegui, Andrés
dc.contributor.authorArazuri Garín, Silvia
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.date.accessioned2022-06-24T09:58:30Z
dc.date.available2022-06-24T09:58:30Z
dc.date.issued2022
dc.date.updated2022-06-24T09:58:30Z
dc.description.abstractIndustrial hemp (Cannabis sativa L.) is a plant native to Asia, and is considered to be a primary source of food, textile fiber, and medicines. It is characterized by containing minimal concentrations of delta-9 tetrahydrocannabidol (THC), which is the main psychoactive chemical component, and cannabidiol (CBD), a non-psychoactive substance. In most European countries, the maximum concentration legally allowed for cultivation is 0.2% of THC, and it is currently under debate whether to increase this level to 0.3%. Moreover, in many countries its production is being regularized and legalized, increasing the need for a rapid analysis method. The present work evaluated the cannabinoid content in hemp (Cannabis sativa L.) using near infrared spectroscopy (NIRS) technology in combination with chemometric techniques. For this, several samples of the Kompolti variety were analyzed. Samples were dried and ground, and the content of total THC (%) and total CBD (%) was determined by high performance liquid chromatography (HPLC) with a diode array detector as reference measurements, and then the spectra were collected by NIRS. Principal component analysis and partial least square regression models were developed. Good coefficients of determination of cross-validation of 0.77 for THC and CBD, and a ratio of prediction to deviation >2 for total THC and CBD, were achieved. The results obtained show that NIRS technology has potential for the quantitative determination of cannabinoids. Therefore, this analytical method would allow a simpler, more robust, precise, and sustainable estimation than the current HPLC approach.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationJarén-Ceballos, C.; Zambrana, P.; Pérez-Roncal, C.; López-Maestresalas, A.; Ábrego-Arlegui, A.; Arazuri-Garín, S.. (2022). Potential of NIRS technology for the determination of cannabinoid content in industrial hemp (Cannabis sativa L.). Agronomy. 12,938 1-12 .en
dc.identifier.doi10.3390/ agronomy12040938
dc.identifier.issn2073-4395
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/43204
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofAgronomy, 2022, 12 (938),1-12en
dc.relation.publisherversionhttps://doi.org/10.3390/agronomy12040938
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCBDen
dc.subjectTHCen
dc.subjectNear infrared spectroscopyen
dc.subjectQuantificationen
dc.subjectHPLCen
dc.subjectChemometricsen
dc.titlePotential of NIRS technology for the determination of cannabinoid content in industrial hemp (Cannabis sativa L.)en
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublication79587acb-0322-4631-b768-2c08bd4c493c
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relation.isAuthorOfPublication.latestForDiscovery79587acb-0322-4631-b768-2c08bd4c493c

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