首页> 美国卫生研究院文献>Journal of Chromatographic Science >Separation and Determination of Honokiol and Magnolol in Chinese Traditional Medicines by Capillary Electrophoresis with the Application of Response Surface Methodology and Radial Basis Function Neural Network
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Separation and Determination of Honokiol and Magnolol in Chinese Traditional Medicines by Capillary Electrophoresis with the Application of Response Surface Methodology and Radial Basis Function Neural Network

机译:响应面分析-径向基函数神经网络-毛细管电泳法分离测定中药中厚朴酚和厚朴酚

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摘要

A method for the separation and determination of honokiol and magnolol in Magnolia officinalis and its medicinal preparation is developed by capillary zone electrophoresis and response surface methodology. The concentration of borate, content of organic modifier, and applied voltage are selected as variables. The optimized conditions (i.e., 16 mmol/L sodium tetraborate at pH 10.0, 11% methanol, applied voltage of 25 kV and UV detection at 210 nm) are obtained and successfully applied to the analysis of honokiol and magnolol in Magnolia officinalis and Huoxiang Zhengqi Liquid. Good separation is achieved within 6 min. The limits of detection are 1.67 µg/mL for honokiol and 0.83 µg/mL for magnolol, respectively. In addition, an artificial neural network with “3-7-1” structure based on the ratio of peak resolution to the migration time of the later component (Rs/t) given by Box-Behnken design is also reported, and the predicted results are in good agreement with the values given by the mathematic software and the experimental results.
机译:通过毛细管区带电泳和响应面法建立了厚朴中厚朴酚和厚朴酚的分离和测定方法。选择硼酸盐的浓度,有机改性剂的含量和施加的电压作为变量。获得了优化的条件(即pH 10.0时的16 mmol / L四硼酸钠,11%甲醇,25 kV的施加电压和210 nm的紫外检测),并成功地用于了厚朴和火香正气中厚朴酚和厚朴酚的分析。液体。在6分钟内实现了良好的分离。厚朴酚和厚朴酚的检出限分别为1.67 µg / mL和厚朴酚。此外,还报告了基于Box-Behnken设计给出的峰分辨率与后期组分迁移时间之比(Rs / t)的“ 3-7-1”结构的人工神经网络,并预测了结果与数学软件给出的值和实验结果非常吻合。

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