目的研究建立菊花HPLC指纹图谱分析法,评价不同品种不同来源菊花药材的质量。方法采用梯度洗脱的方法进行色谱分离,用竞争层神经网络进行数据处理,对不同品种、不同来源的菊花样本进行模式识别。结果建立了菊花的HPLC指纹图谱分析方法,识别结果将菊花样本分为5类。结论利用菊花指纹图谱可对不同品种不同来源的菊花药材进行鉴别,并可在一定程度上进行质量控制。

Objective To establish the analytical method for the fingerprint of Flos Chrysanthemi by HPLC and estimate the quality of pyos Chrysanthemi in various species from different habitats.Methods The gradiente lution mode was applied in chromatographic separation,data can be treated by competitive layer neural network（NN）and pattern recognition be made for Flos Chrysanthemi samples of various species from different habitats,Results The analytical method of fingerprint for Flos chrysanthemi by HPLC was established,samples can be classified into five categories according to the recognition result.Conclusion The established fingerprint can be used for the identification and quality control of Flos Chrysanthemi.