HPTLC Finger Print of Phytophenols and Flavonoids of Artimisia Nilagirica under Different Extraction Regimen

To detect and estimate the phenolics and flavonoids of Artimisia nilagirica in different solvents under Cold Percolation (CP), Micro-Wave-Assisted Extraction (MAE) system and by HPTLC finger print analysis. Preliminary screening of phenolic components in hexane treated chlorophyll free extracts of solvent groups was studied qualitatively by specific chemical tests and total polyphenols and flavonoids were estimated quantitatively by UV-VIS-Spectrophotometer following CP and MAE system. Distinct chemo-profile of the extracts was analyzed by HPTLC technique with CAMAG TLC plate Heater-III, CAMAG-TLC scanner-3, Optical Filter K-400 and CAMAG win CATS planar chromatography manager software. Among two methods of extraction more components of polyphenols were detected and significantly higher contents of phenolics and flavonoids were estimated in MAE method than CP method. Out of two solvent types, organic solvent mixtures recovered significantly higher polyphenols and flavonoids in comparison to aqueous solvent where 80% methanol was to extract the maximum. HPTLC finger print analysis of phenolics revealed 7 (Rf 0.02- 0.93), 15 (Rf 0.01- 0.93), 16 (Rf 0.01- 0.89), 10 (Rf 0.01- 0.98) and 12 peaks (Rf 0.01- 0.93) for water, 80% methanol, ethanol, acetone and mixture solvents respectively under traditional CP method. But, in MAE method the peaks were 10 (Rf 0.01- 0.97), 19 (Rf 0.01- 0.92), 19 (Rf 0.01- 0.96), 16 (Rf 0.01- 0.99) and 16 (Rf 0.01- 0.95) respectively. Phyto-chemicals can be better screened qualitatively and estimated quantitatively in organic solvent extracts under MAE system by HPTLC finger print analysis than the aqueous solvent and CP method.