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1000 Titel
  • Optimization of tea‐leaf saponins water extraction and relationships between their contents and tea (Camellia sinensis ) tree varieties
1000 Autor/in
  1. Yu, Xiao-Lan |
  2. He, Yong |
1000 Erscheinungsjahr 2018
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-07-30
1000 Erschienen in
1000 Quellenangabe
  • 6(6):1734-1740
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/fsn3.724 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Resulting from the year‐on‐year increase in tea plantations and the saturated consumption of tea leaves, the relative overcapacity in China's tea‐leaf production appears. Discovering the new utilization of tea leaves is helpful to alleviate this phenomenon. The feasibility of extracting saponins from aged tea leaves was investigated and confirmed; three major variables in water extraction were optimized by Box‐Behnken designs. The significant variable found in Box‐Behnken designs, liquid–solid ratio, was went through single‐variable experiments for a more accurate optimization. Seventy‐five ml/g, 1 hr, and 80°C were optimal values and tea‐leaf saponins yield of tea tree variety Longjing 43 reached 12.19% ± 0.0030% after optimizations, higher than the yield of tea‐seed saponins from Camellia oleifera seed meals using the same extraction method (water extraction based on optimizations). According to correlation analyses, tea tree's leaf type and germination stage affected tea‐leaf saponins contents positively, indicating tea trees with larger leaves and later germination stage would have a higher content of tea‐leaf saponins with a higher yield of tea‐leaf saponins under the same extraction method.
1000 Sacherschließung
lokal tea tree variety
lokal tea-leaf saponins
lokal liquid–solid ratio
lokal water extraction
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-1780-7850|https://frl.publisso.de/adhoc/uri/SGUsIFlvbmc=
1000 Label
1000 Förderer
  1. National Key Research and Development Program of China Stem Cell and Translational Research |
1000 Fördernummer
  1. 2016YFD0700304
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Key Research and Development Program of China Stem Cell and Translational Research |
    1000 Förderprogramm -
    1000 Fördernummer 2016YFD0700304
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6421631.rdf
1000 Erstellt am 2020-07-01T11:32:40.769+0200
1000 Erstellt von 286
1000 beschreibt frl:6421631
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Thu Jul 16 10:30:56 CEST 2020
1000 Objekt bearb. Wed Jul 01 11:34:10 CEST 2020
1000 Vgl. frl:6421631
1000 Oai Id
  1. oai:frl.publisso.de:frl:6421631 |
1000 Sichtbarkeit Metadaten public
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