| 菊花的HPLC指纹图谱研究 |
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| 引用本文： | 赵玉丛,刘国际,任保增,屈凌波.菊花的HPLC指纹图谱研究[J].医学教育探索,2005(10):1552-1555. |
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| 作者姓名： | 赵玉丛 刘国际 任保增 屈凌波 |
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| 作者单位： | 郑州大学化学系，郑州大学化学系，郑州大学化学系，郑州大学化学系 河南郑州450002，河南郑州450002，河南郑州450002，河南郑州450002，安阳师范学院，河南安阳455002 |
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| 摘 要： | 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。
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| 关 键 词： | 菊花 HPLC 指纹图谱 竞争层神经网络 |
Fingerprint of Flos Chrysanthemi by HPLC |
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| ZHAO Yu-cong,LIU Guo-ji,REN Bao zeng,QU Ling-bo.Fingerprint of Flos Chrysanthemi by HPLC[J].Researches in Medical Education,2005(10):1552-1555. |
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| Authors: | ZHAO Yu-cong LIU Guo-ji REN Bao zeng QU Ling-bo |
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| Institution: | 1. Department of Chemistry, Zhengzhou University, Zhengzhou 450002, China; 2. Anyang Normal College, Anyang 455002, China |
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| Abstract: | Objective To establish the analytical method for the fingerprint of Flos Chrysanthemi by HPLC and estimate the quality of Flos Chrysanthemi in various species from different habitats. Methods The gradient elution 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. |
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| Keywords: | Flos Chrysanthemi HPLC fingerprint competitive layer neural network |
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