Catalan
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Antioxidants 2020-Jan

Extraction Optimization and Evaluation of the Antioxidant and α-Glucosidase Inhibitory Activity of Polysaccharides from Chrysanthemum morifolium cv. Hangju.

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
Xiaoyan Hou
Xia Huang
Jianlong Li
Guangyang Jiang
Guanghui Shen
Shanshan Li
Qingying Luo
Hejun Wu
Meiliang Li
Xingyan Liu

Paraules clau

Resum

In order to evaluate the antioxidant and α-glucosidase activities of polysaccharides from Chrysanthemum morifolium cv. Hangju (CMPs), the response surface methodology was applied to optimize the parameters for extraction progress of CMPs by ultrasound, with heat reflex extraction (HRE) performed as the control. The difference in the physicochemical properties of polysaccharides obtained by the two methods were also investigated. The maximum yields (8.29 ± 0.18%) of polysaccharides extracted by ultrasonic assisted extraction (UAE) were obtained under the optimized conditions of ultrasonic power 501 W, extraction time 19 min, and ratio of liquid-to-raw material 41 mL/g. Polysaccharides extracted by UAE possessed lower protein contents (2.56%) and higher uronic acids contents (7.08%) and low molecular weight fractions than that by HRE. No significant differences were found in monosaccharide composition and Fourier transform infrared (FT-IR) spectra of polysaccharides extracted by UAE and HRE, while polysaccharides by UAE possessed stronger antioxidant and α-glucosidase inhibitory activities. Therefore, UAE was an efficient way to obtain CMPs.

Uneix-te a la nostra
pàgina de Facebook

La base de dades d’herbes medicinals més completa avalada per la ciència

  • Funciona en 55 idiomes
  • Cures a base d'herbes recolzades per la ciència
  • Reconeixement d’herbes per imatge
  • Mapa GPS interactiu: etiqueta les herbes a la ubicació (properament)
  • Llegiu publicacions científiques relacionades amb la vostra cerca
  • Cerqueu herbes medicinals pels seus efectes
  • Organitzeu els vostres interessos i estigueu al dia de les novetats, els assajos clínics i les patents

Escriviu un símptoma o una malaltia i llegiu sobre herbes que us poden ajudar, escriviu una herba i vegeu malalties i símptomes contra els quals s’utilitza.
* Tota la informació es basa en investigacions científiques publicades

Google Play badgeApp Store badge