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New method for analysis of Chinese herbal complex prescription and its application

机译:New method for analysis of Chinese herbal complex prescription and its application

摘要

Traditional Chinese medicine (TCM) is a great treasure of China, the analysis of which is an arduous task. The viewpoint that all chemical constituents of Chinese herbal complex prescription should be analyzed as a black box is elucidated for the first time. Intelligent multi-mode multi-column chromatographic system (IMMCC) with its hybrids is the basic method and HPLC Unified Method is the breakthrough for the black box analysis. Dang-Gui-Bu-Xue-Tang was selected as a typical TCM and a systematic separation method from non-aqueous mobile phase to pure water mobile phase was put forward in order to convert unknown sample to known sample. The a, c values and UV spectra of 66 components of Astragalus, 78 components of Angelica and 71 components of Dang-Gui-Bu-Xue-Tang were obtained. Intelligent optimization and peak identification method and software for complex samples were developed and the optimum multi-step multi-binary gradient curve of mobile phase for Astragalus was ascertained. The maximum error and minimum error of predicted retention time for all components of Astragalus are 8.62% and 0.05% respectively. All components of Astragalus were compared with those of Angelica and it is found that many components of Astragalus are the same as those of Angelica, while the contents of these components are different. Many components of Dang-Gui-Bu-Xue-Tang are also the same as those of Astragalus and Angelica with different contents.
机译:中医是中国的瑰宝,对其分析是一项艰巨的任务。首次阐明了将中药复方的所有化学成分分析为黑匣子的观点。智能多模式多柱色谱系统(IMMCC)及其混合方法是基本方法,HPLC统一方法是黑盒分析的突破。选择当归-布-学-汤作为典型的中药,提出了从非水流动相到纯水流动相的系统分离方法,以将未知样品转化为已知样品。获得了黄芪66个成分,当归78个成分和当归-补血-血汤的71个成分的a,c值和UV光谱。开发了用于复杂样品的智能优化和峰识别方法及软件,确定了黄芪流动相的最佳多步多二元梯度曲线。黄芪所有成分的预计保留时间的最大误差和最小误差分别为8.62%和0.05%。将黄芪成分与当归成分进行比较,发现黄芪成分与当归成分相同,但含量不同。当归桂补血汤的许多成分也与黄芪和当归的成分相同,但含量不同。

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