Application of Design of Experiment and Design Space (DOE-DS) Methodology for the HPLC Separation of Panax Notoginseng Saponins

Shengyun Dai, Bing Xu, Gan Luo, Jianyu Li, Zhong Xue, Xinyuan Shi, Yanjiang Qiao
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引用次数: 5

Abstract

Abatract: Panax Notoginseng Saponins (PNS), extracted from the roots of the common TCM Panax notoginseng (Burk.) F.H.Chen, consist of notoginsenoside R1, ginsenoside Rg1, Re, Rb1, Rd and many other chemicals which haven’t been identified. Due to its popular pharmacological effects, it is of importance to control the quality. This study combines design of experiments and design space methodology to optimize the HPLC separation of PNS. Three common chromatographic parameters (i.e. the temperature, the initial proportion of acetonitrile and the gradient slope) were selected to construct a Box-Behnken design which consisted of 17 experiments. A quadratic model that was built from the experimental result was used to construct the design space. The optimal separation was predicted at temperature 20°C, with a gradient starting at 15% of acetonitrile and a gradient slope of 0.55%/min. Accuracy profile approach was employed to validate the established HPLC method. The results clearly showed that quality by design methodology could be effectively applied to optimize the HPLC chromatographic conditions for the analysis of PNS.
实验设计与设计空间(DOE-DS)法在三七皂苷HPLC分离中的应用
摘要:三七皂苷(Panax Notoginseng Saponins, PNS)是从常见中药三七(Burk.)的根中提取的。由三七皂苷R1,人参皂苷Rg1, Re, Rb1, Rd和许多其他尚未确定的化学物质组成。由于其广泛的药理作用,其质量控制具有重要意义。本研究结合实验设计和设计空间法,优化PNS的高效液相色谱分离。选取3个常用色谱参数(温度、乙腈初始比例和梯度斜率)构建Box-Behnken设计,共17个实验。利用实验结果建立的二次元模型构建设计空间。预测最佳分离温度为20℃,梯度从乙腈浓度的15%开始,梯度斜率为0.55%/min。采用准确度剖面法对所建立的高效液相色谱法进行验证。结果表明,设计质量法可有效地优化PNS的HPLC分析条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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