
HPTLC Fingerprint Analysis of Naregamia alata W and A- A Medicinal Plant
Author(s) -
K V Vinny,
T S Prameela,
Oommen P. Saj
Publication year - 2017
Publication title -
international journal of pharmacognosy and phytochemical research
Language(s) - English
Resource type - Journals
ISSN - 0975-4873
DOI - 10.25258/ijpapr.v9i1.8032
Subject(s) - fingerprint (computing) , chromatography , scanner , chemistry , methanol , traditional medicine , materials science , computer science , artificial intelligence , medicine , organic chemistry
Aim of this study was to develop a HPTLC fingerprint profiles for various secondary metabolites of methanol extract ofthe root of the traditional medicinal plant, Naregamia alata. CAMAG HPTLC system equipped with Linomat V applicator,TLC scanner 3, Reprostar 3 and WIN CATS-4 software were used. HPTLC finger printing of methanol extract of rootcarried out in three different mobile phases, which showed different Rf values. HPTLC finger printing of methanol extractof root in Mobile phase1 revealed 10 peaks with Rf values in the range of 0.13 to 0.92, Mobile phase 2 showed 7 peakswith Rf values in the range of 0.27 to 0.93 and Mobile phase 3 revealed 4 peaks with Rf values in the range of 0.25 to 0.78.It can be concluded that different Rf values of various phytochemicals provide valuable idea regarding their polarity andselection of solvents for separation of phytochemicals. This study will help in future for identifying this plant for furtherresearch.