Nicolescu, AlexandruBabotă, MihaiAranda Cañada, EduardoDias, Maria InêsAñibarro-Ortega, MikelCornea-Cipcigan, MihaielaTanase, CorneliuRadu Sisea, CristianMocan, AndreiBarros, LillianCrişan, Gianina2024-07-312024-07-312024Nicolescu, Alexandru; Babotă, Mihai; Aranda Cañada, Eduardo; Dias, Maria Inês; Añibarro-Ortega, Mikel; Cornea-Cipcigan, Mihaiela; Tanase, Corneliu; Radu Sisea, Cristian; Mocan, Andrei; Barros, Lillian; Crișan, Gianina (2024). Association of enzymatic and optimized ultrasound-assisted aqueous extraction of flavonoid glycosides from dried Hippophae rhamnoides L. (Sea Buckthorn) berries. Ultrasonics Sonochemistry. ISSN 1350-4177. 108, p. 1-121350-4177http://hdl.handle.net/10198/30146The main purpose of the present study was to determine the effect of associating an optimized ultrasound-assisted extraction (UAE) protocol with enzyme-assisted extraction (EAE) in aqueous media, using the dried berries of Hippophae rhamnoides L. (sea buckthorn) as plant material. A specialized software was used for the determination of potential optimal extraction parameters, leading to the development of four optimized extracts with different characteristics (UAE ± EAE). For these extracts, buffered or non-buffered solutions have been used, with the aim to determine the influence of adjustable pH on extractability. As enzymatic solution, a pectinase, cellulase, and hemicellulase mix (2:1:1) has been applied, acting as pre-treatment for the optimized protocol. The highest extractive yields have been identified for non-buffered extracts, and the E-UAE combination obtained extracts with the highest overall in vitro antioxidant activity. The HPLC-MSn analysis demonstrated a rich composition in different types of isorhamnetin-O-glycosides, as well as some quercetin-O-glycosides, showing a high recovery of specific flavonol-type polyphenolic species. Moreover, we have tentatively identified two flavanols (i.e., catechin and epigallocatechin) and one flavone derivative (i.e., luteolin).engEAEFlavonolsH. rhamnoidesIsorhamnetinOptimizationUAEjournal article10.1016/j.ultsonch.2024.106955