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Integrated assessment of medicinal rhubarb by combination of delayed luminescence and HPLC fingerprint with emphasized on bioactivities based quality control

机译:基于生物活性的质量控制,通过延迟发光和HPLC指纹组合综合评估药用大黄。

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摘要

To promote herbal medicine depends largely on its quality. Chromatographic fingerprint is a frequent approach for quality assessment of herbs however with challenges on robust and reproducibility. To develop rapid, cheap and comprehensive measurements as complementary tools for herbal quality control are still urgently needed. Moreover, biological activities are essential for herbal quality, and should be taken into consideration with emphasized in quality control. In this research, HPLC fingerprint and delayed luminescence (DL, a rapid and systematic tool) were used to measure the rhubarb samples of multiple species. Statistics were explored to classify these rhubarb samples using data obtained from two analytic methods. In addition, DL properties were linked to specific chemical components which may reflect bioactivities of rhubarb using Spearman’s rank correlation. Moreover, mice model was used to evaluate the cathartic effect between rhubarb samples stratifying by two analytic methods. We found that there was no significant difference of chemical fingerprints and DL signals among the different species of medicinal rhubarb. However, our results show a high similarity between HPLC fingerprint analysis and DL measurements in classification of these rhubarb samples into two sub-groups. In addition, the two sub-groups of rhubarb samples that may have different cathartic activities. This approach provides new leads for development of herbal quality assessment based on bioactivity. In conclusion, integrated assessment by measuring HPLC fingerprint and DL with emphasized on bioactivity may provide novel strategy for herbal quality control.
机译:为了促进草药,主要取决于其质量。色谱指纹是一种频繁的草药质量评估方法,但是对鲁棒性和再现性的挑战。为了开发快速,廉价和全面的测量,因为仍然需要迫切需要互补的草药质量控制工具。此外,生物学活动对于草药质量至关重要,并应考虑在质量控制中强调。在该研究中,使用HPLC指纹和延迟发光(DL,快速和系统工具)来测量多种物种的大黄样本。探索统计数据以使用从两种分析方法获得的数据对这些大黄类样本进行分类。此外,DL性质与特定的化学成分相关联,这可能使用Spearman的等级相关反映大黄的生物活性。此外,使用小鼠模型来评估通过两种分析方法分层的大黄样品之间的泻药效应。我们发现化学指纹和DL信号在不同种类的药物大黄中没有显着差异。然而,我们的结果表明,HPLC指纹分析与DL测量之间的高相似性在将这些大黄样本的分类中分为两个子组。此外,可以具有不同的泻药活动的大黄样品的两个亚组。该方法为基于生物活性的草药质量评估的发展提供了新的带来。总之,通过测量HPLC指纹和强调生物活性的DL综合评估可能为草药质量控制提供新的策略。

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