| 基于聚类分析和主成分分析的栀子指纹图谱研究 |
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| 引用本文： | 付小梅,孙菡,刘婧,裴建国,吴志瑰,黄潇.基于聚类分析和主成分分析的栀子指纹图谱研究[J].中草药,2018,49(19):4653-4661. |
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| 作者姓名： | 付小梅 孙菡 刘婧 裴建国 吴志瑰 黄潇 |
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| 作者单位： | 江西中医药大学药学院 |
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| 基金项目： | 国家自然科学基金资助项目（81360620）；江西省研究生教育创新计划（JXYJG-2015-086）；江西省教育厅科学技术研究项目（GJJ150846，GJJ160854）；江西省卫生厅中医药科研项目（2015A040，2015A051，2016A019） |
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| 摘 要： | 目的建立栀子的HPLC指纹图谱,为其真伪鉴别及质量评价提供依据。方法采用HPLC法建立栀子及其主要混淆品(水栀子、大红栀子)的指纹图谱,并通过HPLC-ESI-MS对指纹图谱中的色谱峰进行鉴定。同时采用聚类分析及主成分分析对样品进行分类分析。结果获得了栀子的HPLC指纹图谱,共有峰17个,鉴定出15个共有峰。聚类分析及主成分分析能将22批栀子类药材区分为栀子、水栀子、大红栀子。结论栀子指纹图谱的构建和化学模式识别为栀子的真伪鉴别和质量控制提供科学依据。
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| 关 键 词： | 栀子 水栀子 大红栀子 指纹图谱 聚类分析 主成分分析 HPLC |
| 收稿时间： | 2018/3/6 0:00:00 |
HPLC fingerprint of fruits of Gardenia Fructus based on cluster analysis and principal component analysis |
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| FU Xiao-mei,SUN Han,LIU Jing,PEI Jian-guo,WU Zhi-gui and HUANG Xiao.HPLC fingerprint of fruits of Gardenia Fructus based on cluster analysis and principal component analysis[J].Chinese Traditional and Herbal Drugs,2018,49(19):4653-4661. |
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| Authors: | FU Xiao-mei SUN Han LIU Jing PEI Jian-guo WU Zhi-gui and HUANG Xiao |
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| Institution: | School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China,School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China and School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China |
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| Abstract: | Objective To establish an HPLC fingerprint method of Gardeniae Fructus which could provide the basis for its authenticity identification and quality evaluation. Methods HPLC method was adopted to construct the fingerprint of Gardeniae Fructus and its main confused species (G. jasminoides f. logicarpa and G. jasminoides var. grandiflora). HPLC-ESI-MS was applied to identify the common peaks. The cluster analysis (CA) and principal component analysis (PCA) were used to classify the samples. Results The HPLC fingerprint of Gardeniae Fructus was obtained with 17 common peaks, and 15 common peaks were identified using HPLC-ESI-MS. A total of 22 batches of the fruits of Gardenia were classified to Gardeniae Fructus, G. jasminoides Ellis f. logicarpa, and G. jasminoides var. grandiflora by CA and PCA. Conclusion The establishment of HPLC fingerprint of Gardeniae Fructus and the application of chemical pattern recognition can provide scientific basis for authenticity identification and quality control of Gardeniae Fructus. |
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| Keywords: | Gardeniae Fructus Gardeniae jasminoides Ellis f logicarpa Z W Xie et Okada Gardeniae jasminoides Ellis var grandiflora Nakai fingerprint cluster analysis principal component analysis HPLC |
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