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dc.contributor.authormoussa, hamza-
dc.date.accessioned2023-10-05T10:19:32Z-
dc.date.available2023-10-05T10:19:32Z-
dc.date.issued2023-
dc.identifier.citationThe valorization of medicinal plants has gained significant attention due to their therapeutic properties. In this study, the optimization of the extraction of secondary metabolites and antioxidant activity from medicinal plants of Bouira region including C. caeruleus L. and S. officinalis L. using ultrasound and microwave-assisted techniques were carried out. New statistical design (Definitive screening design and I-optimal design) and supervised learning model (Support vector regression optimized using dragonfly algorithm) were used in this study. Furthermore, identifying secondary metabolites from medicinal plants is crucial for their potential use in pharmaceuticals. UHPLC-HRMS was employed to identify the S. officinalis L. compounds due to its high sensitivity and accuracy in detecting complex mixtures of compounds. These approaches demonstrated promising results in extracting and identifying bioactive compounds from medicinal plants. The use of a new statistical design and supervised learning model enhances the efficiency of the extraction process, while UHPLC-HRMS allows for the identification of bioactive compounds with high precision and sensitivity. Overall, these approaches provide a sustainable and efficient means of producing pharmaceuticals while preserving natural resources.en_US
dc.identifier.urihttp://dspace.univ-bouira.dz:8080/jspui/handle/123456789/15143-
dc.language.isoenen_US
dc.publisherUniversité de BOUIRA جامعة البويرةen_US
dc.titleExtraction assistée par micro-onde/ultrason des métabolites secondaires de quelques plantes de la région de Bouira : Optimisation, Etude phytochimique et activités biologiques [ressource textuelle, sauf manuscrits]en_US
dc.typeThesisen_US
Collection(s) :Faculté des Sciences de la Nature et de la Vie et des Sciences de la Terre

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