Return to search

Vrste tribusa Scandicae (Apiaceae Lindley 1836, subfam. Apioideae) potencijalni izvor biološki i farmakološki aktivnih sekundarnih biomolekula / Scandiceae tribe (Apiaceae Lindley 1836, subfam. Apioideae) species – potential resources of biologically and pharmacologically active secondary biomolecules

<p>Ispitani su hemijski sastav i biolo&scaron;ka aktivnost &scaron;est samoniklih vrsta iz tribusa Scandiceae<br />(familija Apiaceae): Anthriscus sylvestris, Anthriscus cerefolium, Chaerophyllum bulbosum,<br />Chaerophyllum hirsutum, Chaerophyllum temulentum i Scandix pecten-veneris. LC-MS-MS<br />analizom ekstrakata identifikovano je vi&scaron;e desetina sekundarnih biomolekula iz klasa flavonoida,<br />fenilpropenskih kiselina, lignana i kumarina. GC-MS analiza pružila je uvid u sastav volatilnih<br />komponenti i njihov hemosistematski značaj. Potvrđeno je da sve ispitivane vrste imaju umereno<br />antioksidantno, antiinflamatorno i antiproliferativno dejstvo.</p> / <p> Chemical composition and biological activity of six wild-growing species from<br /> Scandiceae tribe (Apiaceae family) &ndash; Anthriscus sylvestris, Anthriscus cerefolium, Chaerophyllum<br /> bulbosum, Chaerophyllum hirsutum, Chaerophyllum temulentum and Scandix pecten-veneris &ndash; was<br /> examined. By LC-MS-MS analysis, a large number of secondary biomolecules was identified in<br /> extracts, including flavonoids, phenylpropenic acids, lignans and coumarins. GC-MS analysis<br /> provided insight into volatile components composition and chemosystematic significance. All<br /> investigated species exhibited moderate antioxidant, anti-inflammatory and antiproliferative<br /> activity.</p>

Identiferoai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)71990
Date02 July 2010
CreatorsOrčić Dejan
ContributorsMimica-Dukić Neda, Kuhajda Ksenija, Malenčić Đorđe, Božin Biljana, Pal Boža
PublisherUniverzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, University of Novi Sad, Faculty of Sciences at Novi Sad
Source SetsUniversity of Novi Sad
LanguageSerbian
Detected LanguageEnglish
TypePhD thesis

Page generated in 0.0015 seconds