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毛细管电泳指纹图谱结合线性定量分析方法监测苦参生物碱的质量一致性和预测其抗氧化活性。

Capillary electrophoresis fingerprints combined with Linear Quantitative Profiling Method to monitor the quality consistency and predict the antioxidant activity of Alkaloids of Sophora flavescens.

机构信息

Department of Pharmaceutical Engineering, Hebei Chemical and Pharmaceutical College, Shijiazhuang 050026, PR China.

School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, PR China.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2019 Dec 1;1133:121827. doi: 10.1016/j.jchromb.2019.121827. Epub 2019 Oct 21.

Abstract

Alkaloids of Sophora flavescens (ASF) has various pharmacological effects, and it is widely used in clinical practice. The aim of this research was to develop an environmentally friendly methodology that enables not only identification but also the quality consistency assessment of Alkaloids of Sophora flavescens. A background electrolyte composed of 50 mmol/L sodium tetraborate solution, 500 mmol/L boric acid and 1.2 mmol/L citric acid was used to conduct the fingerprint analysis coupled with quantitative determination of three components. Linear quantitative profiling method was used for comprehensive quality discrimination of the test samples from both qualitative and quantitative perspectives, and the 27 batches of samples were well differentiated. In addition, the fingerprint-efficacy relationship between chemical components and antioxidant activity in vitro was established using partial least squares regression model, which provided important medicinal efficacy information for quality control.

摘要

苦参碱具有多种药理作用,在临床实践中得到广泛应用。本研究旨在开发一种环境友好的方法,不仅能够对苦参碱进行鉴定,还能够进行质量一致性评估。采用由 50mmol/L 四硼酸钠溶液、500mmol/L 硼酸和 1.2mmol/L 柠檬酸组成的背景电解质进行指纹图谱分析,并结合三种成分的定量测定。线性定量分析方法从定性和定量两个角度对来自不同批次的 27 个测试样本进行了综合质量区分,并且能够很好地区分这些样本。此外,还使用偏最小二乘回归模型建立了化学成分与体外抗氧化活性之间的指纹-功效关系,为质量控制提供了重要的药效信息。

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