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)
International Journal of Biological Macromolecules 2017-Aug

Cellulase-assisted extraction of polysaccharides from Malva sylvestris: Process optimization and potential functionalities.

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
Hosein Rostami
Seyed Mohammad Taghi Gharibzahedi

Paraules clau

Resum

Enzyme-assisted extraction process of the water-soluble Malva sylvestris polysaccharides (MSPs) was optimized using response surface methodology (RSM). The highest yield (10.40%) of MSPs was achieved at 5.64% cellulase, 55.65°C temperature, 3.4h time, and 5.22 pH. Three homogeneous polysaccharide fractions (MSP-1, MSP-2, MSP-3) were purified by DEAE-cellulose and Sephadex G-100 chromatography, which were composed of galactose, glucuronic acid, arabinose, rhamnose and mannose in different molar ratios with molecular weight range of 2.6×105-8.8×105Da. The fractions could significantly increase antioxidant, antitumor and antimicrobial activities in a dose-dependent pattern. MSP-2 revealed stronger antioxidant activities than MSP-1 and MSP-3, including reducing power and scavenging activity of DPPH and OH radicals. The antiproliferative activity of MSP-2 (1.0mg/mL) on the growth of A549 and HepG2 cells was 45.1% and 53.2%, respectively. The Gram-positive bacteria (Bacillus cereus PTCC 1015 and Staphylococcus aureus PTCC 1112) compared with Gram-negative ones (Escherichia coli PTCC 1763 and Salmonella typhimurium PTCC 1709) showed less sensitivity against the various MSPs (3-15mg/mL).

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