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1000 Titel
  • Response surface optimization for recovery of polyphenols and carotenoids from leaves of Centella asiatica using an ethanol‐based solvent system
1000 Autor/in
  1. Gunathilake, K.D. Prasanna P. |
  2. Ranaweera, K K D S |
  3. Rupasinghe, H P V |
1000 Erscheinungsjahr 2019
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-01-24
1000 Erschienen in
1000 Quellenangabe
  • 7(2):528-536
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/fsn3.832 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Response surface methodology has been used to optimize the extraction conditions for total phenolics and carotenoids from leaves of Centella asiatica. Solvent concentration (30%–100%), extraction temperature (30–60°C), and extraction time (30–90 min) were used as the independent variables. A second‐order polynomial model produced a satisfactory fitting of the experimental data with regard to total phenolics (R2 = 84.75%, p < 0.004) and carotenoid (R2 = 78.74, p < 0.019) contents. The optimum extraction conditions of ethanol concentration, extraction temperature, and extraction time for phenolics were 6.1%, 70.2°C, and 110.5 min and for carotenoids, the optimum parameters were 100%, 70.2°C, and 110.5 min, respectively. The optimal predicted contents for total phenolics (9.03 mg Gallic Acid Equivalent (GAE)/g DW) and carotenoid (8.74 mg/g DW) values in the extracts were agreed with the experimental values obtained with optimum extraction conditions for each response, and also they possess significantly higher total antioxidant capacity.
1000 Sacherschließung
lokal Centella asiatica leaves
lokal phenolics
lokal response surface methodology
lokal carotenoids
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-1965-0583|https://frl.publisso.de/adhoc/uri/UmFuYXdlZXJhLCBLIEsgRCBT|https://frl.publisso.de/adhoc/uri/UnVwYXNpbmdoZSwgSCBQIFY=
1000 Label
1000 Förderer
  1. National Science Foundation |
1000 Fördernummer
  1. RG/AG/2014/04
1000 Förderprogramm
  1. Competitive Research Grant Scheme
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Science Foundation |
    1000 Förderprogramm Competitive Research Grant Scheme
    1000 Fördernummer RG/AG/2014/04
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6423993.rdf
1000 Erstellt am 2020-11-04T11:43:51.004+0100
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1000 Bearbeitet von 286
1000 Zuletzt bearbeitet 2020-11-04T11:46:56.636+0100
1000 Objekt bearb. Wed Nov 04 11:45:49 CET 2020
1000 Vgl. frl:6423993
1000 Oai Id
  1. oai:frl.publisso.de:frl:6423993 |
1000 Sichtbarkeit Metadaten public
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