A NOVEL HPTLC METHOD FOR THE QUANTITATIVE ESTIMATION OF HERBAL INGREDIENTS IN A POLYHERBAL FORMULATION
*P. N. Presannakumaran, Sruthy R. Nair, Revathy S. Kumar and P. Jayasekhar
ABSTRACT
A novel HPTLC method was developed for the quantitative estimation of ‘Katuka’ (Picrorhiza kurroa), one of the herbal ingredients present in the polyherbal formulation „Padoladi Ghritham’. For this, both the methanol extracts of ‘Katuka’ crude drug and Padoladi Ghritham were run using a mobile phase Isopropyl alcohol: Chloroform: Ammonia (6:3.5:0.5 v/v/v) on a silica G 60 F254 stationary phase. Methanol extract of Katuka gave a spot with Rf value of 0.31. The methanol extract of Padoladi Ghritham also gave a spot with Rf value of 0.31. The chemical equivalency of these two spots was revealed by the same pattern of the UV spectrum with a λmax of 280 nm. Then the
quantification was done by preparing Quarter Standard, Half Standard, Normal Standard and Double Standard of the formulation. A calibration plot was drawn between the concentration of standards and peak area. A regression coefficient of 0.8940 was obtained. The developed QHPTLC method is a simple and accurate one and can be used as a tool for the quantification of each ingredient in a polyherbal formulation.
Keywords: QHPTLC, Picrorhiza kurroa, Padoladi Ghritham, Regression Coefficient.
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