Chemical profiling and identification of alkaloids and flavonoids in uncaria lanosa var. Ferrea via UHPLC-Orbitrap MS; [Profil Kimia dan Pengenalpastian Alkaloid dan Flavonoid dalam uncaria lanosa var. Ferrea melalui UHPLC – Orbitrap MS]

Our previous studies on Malaysian Uncaria (Rubiaceae) have yielded over 20 compounds including alkaloids and flavonoids with some compounds showing interesting biological activities. In the search of new bioactive compounds from the genus, a phytochemical investigation on Uncaria lanosa (Wall.) loca...

Full description

Bibliographic Details
Published in:Malaysian Journal of Analytical Sciences
Main Author: Shaharuddin N.H.; Ismail N.H.; Manshoor N.; Salim F.; Ahmad R.
Format: Article
Language:English
Published: Malaysian Society of Analytical Sciences 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964268859&doi=10.17576%2fmjas-2016-2002-13&partnerID=40&md5=d92b461f9c0a8ca5217c1e7ba6f62067
Description
Summary:Our previous studies on Malaysian Uncaria (Rubiaceae) have yielded over 20 compounds including alkaloids and flavonoids with some compounds showing interesting biological activities. In the search of new bioactive compounds from the genus, a phytochemical investigation on Uncaria lanosa (Wall.) locally known as “gegambir paya” or “gegambir hitam” was carried out via metabolite profiling. The plant is reported to be used as an infusion for intestine inflammation and a decoction for cleaning wounds and ulcers. Metabolite profiling was carried out using ultrahigh-performance liquid chromatography coupled with orbitrap mass spectrometry detectors (UHPLC-Orbitrap MS). Ten alkaloids and six flavonoids previously isolated from other Uncaria species were used as reference compounds. Phytochemical analysis of the stem extracts of the plant found the presence of a flavonoid and three alkaloids whose identities were obtained through the comparison of their mass and fragmentation pattern as well as the retention times of the reference compounds. The developed LC-MS method is expected to lead to a more rapid and reliable approach in discovery of new or novel compounds in Uncaria genus. The development of the MS database will also aid in the metabolite profiling of other medicinal plants in natural product research. © 2016, Malaysian Society of Analytical Sciences. All rights reserved.
ISSN:13942506
DOI:10.17576/mjas-2016-2002-13