目的:建立不同来源甘草药材的模式识别分类方法。方法:通过 HPLC 快速获得19个不同来源甘草药材样品的色谱指纹图谱,色谱条件固定相为 Kromasil KR100-5 C_(18)(150mm×4.6mm),流动相为乙腈-0.05%三氟乙酸溶液,梯度洗脱为乙腈20%(0min)→40%(5min)→50%(10min),流速为0.8mL·min~(-1),检测波长为254nm,从每个色谱指纹罔中提取出325个特征变量,采用聚类分析对甘草药材样品进行相似性评价,并应用 PLS 方法建立起不同植物种、不同种植方式甘草的2个分类回归模型。结果:采用分类模型对不同植物种、不同种植方式甘草进行判别,2个分类回归模型的分类准确率均为100%。结论:此方法可用于不同来源甘草药材的分类研究,本文以 HPLC 指纹图谱结合化学计量学知识,为不同中药样品的质量评价提供了一种分类方法。Objective:To establish a method for pattern recognition classification on Radix et Rhizoma Glycyrrhizae of different sources.Methods:HPLC system was applied to obtain the chromatograms of the 19 Radix et Rhizoma Glycyrrhizae samples.The Kromasil KR100-5 C_(18)(150 mm×4.6 mm)column was used.A mixture of acetonitrile 0.05% trifluoroacetic acid solution was used as the mobile phase with a flow rate of 0.8 mL·min~(-1) and the gradi- ent mode was acetonitrile 20%(0 rain)→40%(5 min)→50%(10 min).The detection wavelength was 254 nm. The 325 characteristic variables were obtained from each chromatogram.The clustering analysis was applied to eval- uate the similarity of the chromatograms.Then partial least-squares regression method was applied to build the pre- diction models of classification which were used to distinguish Radix et Rhizoma Glycyrrhizae of different species and cultivation modes.Results:The classification accuracy of the two prediction models of classification was 100% for Radix et Rhizoma Glycyrrhizae of different sources.Conclusion:This method is practicable in the pattern recog- nition classification on Radix et Rhizoma Glycyrrhizae of different sources.The developed technique could be further applied to the classification of different traditional Chinese medicine(TCM).福建省自然科学基金(C021006);; 福建 GAP 关键技术研究(2002Y024
