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      Deep eutectic solvent on extraction of flavonoid glycosides from Dendrobium officinale and rapid identification with UPLC-triple-TOF/MS

      , , , , ,
      Food Chemistry
      Elsevier BV

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          Green extraction of grape skin phenolics by using deep eutectic solvents.

          Conventional extraction techniques for plant phenolics are usually associated with high organic solvent consumption and long extraction times. In order to establish an environmentally friendly extraction method for grape skin phenolics, deep eutectic solvents (DES) as a green alternative to conventional solvents coupled with highly efficient microwave-assisted and ultrasound-assisted extraction methods (MAE and UAE, respectively) have been considered. Initially, screening of five different DES for proposed extraction was performed and choline chloride-based DES containing oxalic acid as a hydrogen bond donor with 25% of water was selected as the most promising one, resulting in more effective extraction of grape skin phenolic compounds compared to conventional solvents. Additionally, in our study, UAE proved to be the best extraction method with extraction efficiency superior to both MAE and conventional extraction method. The knowledge acquired in this study will contribute to further DES implementation in extraction of biologically active compounds from various plant sources.
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            Optimizing the ultrasound-assisted deep eutectic solvent extraction of flavonoids in common buckwheat sprouts

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              Emerging Frontiers of Deep Eutectic Solvents in Drug Discovery and Drug Delivery Systems

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                Author and article information

                Journal
                Food Chemistry
                Food Chemistry
                Elsevier BV
                03088146
                February 2023
                February 2023
                : 401
                : 134054
                Article
                10.1016/j.foodchem.2022.134054
                3769b2df-bd69-4e11-ad19-4d0040f4f21a
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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