A novel HPTLC method for quantitative estimation of biomarkers in polyherbal formulation

Abstract

Objective: To explore the quantitative estimation of biomarkers gallic acid and berberine in polyherbal formulation Entoban syrup. Methods: High performance thin layer chromatography was performed to evaluate the presence of gallic acid and berberine employing toluene: ethyl acetate: formic acid: methanol 12:9:4:0.5 (v/v/v/v) and ethanol: water: formic acid 90:9:1 (v/v/v), as a mobile phase respectively. Results: The Rf values (0.58) for gallic acid and (0.76) for berberine in both sample and reference standard were found comparable under UV light at 273 nm and 366 nm respectively. The high performance thin layer chromatography method developed for quantization was simple, accurate and specific. Conclusions: The present standardization provides specific and accurate tool to develop qualifications for identity, transparency and reproducibility of biomarkers in Entoban syrup.

Keywords

• Quantitative estimation
• Gallic acid
• Berberine
• Entoban syrup
• HPTLC