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首次提出了中药复方全成分黑箱分析的基本思路 ,指出了智能多模式多柱色谱系统(IMMCC)及其联用技术是解决中药复方黑箱分析的方法基础 ,液相色谱统一方法是其突破口 .以当归补血汤为例 ,提出了对中药复方进行从非水反相 (异丙醇 甲醇 )到纯水反相进行系统分离摸索 ,将未知样品转化为已知样品的方法 ,并对黄芪 66个化学成分、当归 78个化学成分和当归补血汤 71个化学成分进行了a ,c指数和紫外光谱的测定 .发展了复杂样品的智能优化和峰识别的方法及软件 ,确定了黄芪分离的多阶梯多二元流动相梯度条件 ,对黄芪所有化学成分保留值预测的最大误差为 8.62 % ,最小误差为 0 0 5 % .通过中药复方与其单味药所有化学成分的比较发现 :黄芪与当归有很多共同的化学成分 ,但含量不一样 ,将当归补血汤与黄芪和当归对比发现当归补血汤配伍后没有主要化学成分的产生或消失 ,但有含量上的变化 .
For the first time, the basic idea of black box analysis for all ingredients of Chinese herbal medicines is proposed. It is pointed out that the intelligent multi-mode multi-column chromatography system (IMMCC) and its associated technology are the basis for solving the black box analysis of traditional Chinese medicines. The unified method of liquid chromatography is its breakthrough. As an example of Danggui Buxue Decoction, a method for the systematic separation of non-aqueous reversed phase (isopropanol methanol) to pure water was proposed for the Chinese herbal compound, and the unknown sample was converted into a known sample. Ingredients, 78 chemical constituents of Angelica sinensis and 71 chemical constituents of Danggui Buxue Decoction were used for the determination of a, c index and ultraviolet spectrum. The method and software for intelligent optimization and peak identification of complex samples were developed, and multi-steps for the separation of Astragalus membranaceus were determined. The binary mobile phase gradient condition predicts the maximum error of 8.62% for all chemical composition retention values of Astragalus membranaceus and has a minimum error of 0 05%. Through the comparison of all the chemical components of Chinese herbal compound and its single herb, it is found that there are many common astragalus and angelica. The chemical composition, but the content is not the same, compared the Angelica blood soup with Astragalus and Angelica The production or disappearance, but there are changes in the content.