نبذة مختصرة : International audience ; Development and optimization of different eco-extraction and analytical methods on Cannabis sativa L. Pichon Valentin a, Pinault Emilie b. a, Louvet François c, Ducret Gilles d, Viana Marylène a, Mambu Lengo a a Laboratoire LABCIS, UR 22722, Faculté de Pharmacie, 2 rue du Docteur Marcland, 87025 Limoges cedex, France. b BISCEmplatform,US 42 Inserm -UAR 2015 CNRS, Univ. Limoges, CHU Limoges, 87025 Limoges, France. c ENSIL-ENSCI Formation : Céramique Industrielle, ESTER Université de Limoges, 87068 Limoges, France.d Centre Lab, Z.A. de la Granderaie, rue de Vernet, 23000 Guéret, France.The cannabinoids, predominantly found in the glandular trichomes of Cannabis sativa L., have garnered significant scientific interest due to their diverse pharmacological properties (Pacher et al., 2006). These include analgesic, anti-inflammatory and psychoactive effects (Russo et al., 2011). The access to these compounds depends on the extraction methods used, which can vary in their yield and metabolite profile for the same plant.This study was focused on the development and optimization of green extraction methods in the laboratory scale and their transferability to industry.A variety of green extraction techniques were employed (Tiago et al. 2022) and results were compared according to their mass yields, total contents (polyphenols, flavonoids, chlorophylls) and quantifications. Ethanol was used as the reference solvent. The use of ultrasounds, pressure, microwaves methods significantly improved mass yield and desired molecules. The HRLC-MS/MS allowed for the monitoring of cannabinoid concentrations, facilitating the selection of the most appropriate technique for the industrial scale. In addition to these results, a statistical approach was applied and made it easier to sort the data, to compare and obtain the best compromises for metabolites of pharmaceutical interest. The notion of desirability was added and highlighted the possibility to choose the condition which minimazing undesirable molecules ...
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