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[基于化学模式识别的中药龙胆质量评价]

[Quality assessment of the traditional Chinese medicine gentian by chemical pattern recognition].

作者信息

Wang T J, Luo X, Wang X, He C F

机构信息

Shenyang College of Pharmacy.

出版信息

Yao Xue Xue Bao. 1992;27(6):456-61.

PMID:1442074
Abstract

Methanol extracts of 38 samples of the traditional Chinese medicine gentian of different origin were prepared. Data reflecting their chemical constituents as a whole were obtained by HPLC. The Chinese Pharmacopoeia (1990) specified four species of the getiana as authentic. Some samples from the authentic and non-authentic gentian were used as the training set of pattern recognition. Chemical features of the gentian samples were selected from among the matching data of HPLC by the SIMCA program. Finally, the selected chemical features were displayed as stars in a semicircular polar coordinate system, resulting in a constellation graph. Quality assessment of the traditional Chinese medicine gentian was accomplished by recognizing the position and path of the stars in the constellation graph. The clusters of the gentian samples in the constellation graph obtained from the HPLC features were consistent with and complement to their plant taxonomy. The vivid graph demonstrated that pattern recognition via chemical constellation promises well a reliable method for assessing traditional Chinese medicines.

摘要

制备了38个不同产地的中药龙胆样品的甲醇提取物。通过高效液相色谱法(HPLC)获得了反映其整体化学成分的数据。《中国药典》(1990年版)规定了四种龙胆为正品。选取部分正品和非正品龙胆样品作为模式识别的训练集。通过SIMCA程序从HPLC的匹配数据中选择龙胆样品的化学特征。最后,将所选化学特征以星号形式显示在半圆形极坐标系中,得到星座图。通过识别星座图中星号的位置和轨迹,完成了对中药龙胆的质量评估。从HPLC特征得到的星座图中龙胆样品的聚类结果与其植物分类学结果一致且相互补充。这一形象的图谱表明,通过化学星座进行模式识别有望成为一种可靠的中药质量评估方法。

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