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

机译:定量估计多草药制剂中生物标志物的新颖HPTLC方法

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摘要

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 R f 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.
机译:目的:探讨多药配方恩托班糖浆中没食子酸和小ber碱的生物标志物定量方法。方法:采用高效薄层色谱法,通过甲苯:乙酸乙酯:甲酸:甲醇12:9评估没食子酸和小ber碱的存在。 :4:0.5(v / v / v / v)和乙醇:水:甲酸90:9:1(v / v / v)作为流动相,结果:没食子酸的R f值为(0.58)发现样品和参考标准品中的小ber碱酸和(0.76)小碱分别在273 nm和366 nm的紫外光下具有可比性。结论:本标准化技术为开发恩托班糖浆中生物标志物的鉴定,透明性和可再现性鉴定提供了专门而准确的工具。

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