保证多指标成分含量稳定的中药材最优化调配方法

提出了一种利用HPLC指纹图谱测定中药材多指标成分含量, 再运用线性、非线性最优化理论调配中药材, 从而保证中药材调配物多指标成分含量稳定的新方法. 方法的核心是所提出的7种最优化调配目标函数及相应的约束条件. 实验验证, 以10批板蓝根药材为基础, 在7种最优化目标下, 控制5个主要HPLC色谱峰面积稳定均一, 结果显示, 峰面积最大相对偏差的绝对值为6.3%.

Optimization Method for Blending Traditional Chinese Medicine Herbs to Ensuring the Content Stability of Multiple Indicative Constituents

A novel approach to ensure the stability of multiple indicative constituents in Traditional Chinese Medicine(TCM) was put forward, which firstly assays the content of multiple indicative constituents in diffe-rent batches of raw herbs, and then utilizes the linear and nonlinear optimization theories and methods to get an appropriate proportions for each herb, and finally blends each batch of herbs with this proportion so as to get rid of the fluctuation of the content in different batches of raw herbs. The key of the approach was credited to the optimization problem presented, which consists of 7 objective functions and several agile constrains. To demonstrate the approach's feasibility and validity, a series of experiments were carried out, in which 10 batches of different Radix isatidis were used as raw materials, and the goal was set to ensure the stability of 5 HPLC peak-areas in chromatograms, and the result shows that the maximum relative error of the peak-areas was 6.3%, compared with five standard peak-areas.