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首页> 外文期刊>Der Pharma Chemica: journal for medicinal chemistry, pharmaceutical chemistry and computational chemistry >TLC densitometric fingerprint development and validation of Berberine as markers in poly-herbal Unani formulations
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TLC densitometric fingerprint development and validation of Berberine as markers in poly-herbal Unani formulations

机译：TLC密度指纹图谱的开发和小Ber碱作为聚草药Unani制剂中的标记物的验证

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Sat-e-gilo (Tinospora cardifolia) and its poly herbal formulations have been in use in Indian traditional medicine since antiquity. However, there has been no attempt to standardize the polyherbal formulations containing Berberine as the main ingredient in terms of its active principal or marker compound. Biologically active Berberine is identified as the marker compound for the crude drugs and its formulations. In the present study, the method for fingerprints of the formulations in the form of densitogram following charring of the chromatographic plate was developed that could be useful for marker-based quality assurance of the polyherbal products containing Tinospora cardifolia. Accuracy was validated by analysis of spiked blank and standard addition samples and precision by performing replicate analyses on a single day and on different days. Recoveries from spiked blank and standard addition sample were 98.03-100.37%. Repeatability for sample, each of which was analyzed six times on a single plate, was 0.034967 % relative standard deviation. The intra and inter precision was 0.045 and 0.047% relative standard deviation for a sample analyzed in duplicate once per plate on same day and the different days over a seven-day period. The content of Berberine was found to be 11.75 ± 0.0208– 12.46 ± 0.0264 mg/gm in lab formulations. A survey was made of Berberine content compared with label values for two marketed products, using the new method. The method was shown to be simple, precise and accurate suitable for routine analysis of Berberine in a manufacturing quality-control or regulatory agency laboratory.
机译：自古代以来，Sat-e-gilo（心叶草（Tinospora cardifolia））及其多草药配方已在印度传统医学中使用。但是，尚未尝试就其活性成分或标志物化合物标准化以小ine碱为主要成分的多草药配方。具有生物活性的小ber碱被确定为粗药物及其制剂的标志物。在本研究中，开发了在炭化色谱板后以光密度图形式对制剂进行指纹识别的方法，该方法可用于基于标记物的含心小夜蛾的多草药产品的质量保证。通过分析加标空白和标准添加样品来验证准确性，并通过在一天和不同天进行重复分析来验证精度。加标空白样品和标准添加样品的回收率为98.03-100.37％。样品的可重复性相对于标准偏差为0.034967％，每个样品在一块板上进行六次分析。对于一个样品，在7天的同一天和不同天两次重复分析一次，样品的内部精度和内部精度相对标准偏差为0.045和0.047％。在实验室配方中，小Ber碱的含量为11.75±0.0208– 12.46±0.0264 mg / gm。使用这种新方法对黄连素含量与两种市售产品的标签价值进行了比较。结果表明，该方法简单，准确，准确，适合在制造质量控制或监管机构实验室中对小ber碱进行常规分析。

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