| 引用本文: | 洪挺,张昆艳,陈丹丹,杨毅生,王栋.细梗香草药材HPLC指纹图谱研究及质量评价[J].中国现代应用药学,2022,39(15):1956-1961. |
| HONG Ting,ZHANG Kunyan,CHEN Dandan,YANG Yisheng,WANG Dong.Establishment of HPLC Fingerprint of Lysimachia capillipes Hemsl. and Its Quality Evaluation[J].Chin J Mod Appl Pharm(中国现代应用药学),2022,39(15):1956-1961. |
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| 细梗香草药材HPLC指纹图谱研究及质量评价 |
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洪挺1, 张昆艳1,2, 陈丹丹2, 杨毅生1, 王栋3
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1.江西省药品检验检测研究院, 国家药品监督管理局中成药质量评价重点实验室, 江西省药品与医疗器械质量工程技术研究中心, 南昌 330029;2.江西中医药大学药学院, 南昌 330004;3.江西省食品检验检测研究院, 江西国家果蔬产品及加工食品质量监督检验中心, 南昌 330001
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| 摘要: |
| 目的 通过HPLC建立细梗香草药材的指纹图谱，并对其进行聚类分析和主成分分析。方法 利用《中药色谱指纹图谱相似度评价系统》（2012版）对12批次细梗香草药材进行相似度评价，并采用SPSS 21.0软件对其进行聚类分析和主成分分析。结果 建立了细梗香草药材HPLC指纹图谱，确定了12个共有峰，指认了其中5个色谱峰；12批药材细梗香草相似度为0.949~0.997，表明它们之间的一致性较好。12批细梗香草可以聚为两大类，其中S7、S8聚为一类，其余聚为一类。经主成分分析，主成分1~3是影响细梗香草质量评价的主要因子，3个主成分累计方差贡献率为96.93%。结论 所建立的细梗香草的HPLC指纹图谱，以及聚类分析和主成分分析结果可为细梗香草药材的质量评价及进一步开发利用提供参考。 |
| 关键词: 细梗香草 指纹图谱 聚类分析 高效液相色谱法 主成分分析 |
| DOI：10.13748/j.cnki.issn1007-7693.2022.15.006 |
| 分类号:R917.101 |
| 基金项目:江西省重点研发计划项目（20161BBG70236）；江西省食品药品监督管理局科技计划项目（2015YP08）；2015年国家药品标准提高项目（163） |
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| Establishment of HPLC Fingerprint of Lysimachia capillipes Hemsl. and Its Quality Evaluation |
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HONG Ting1, ZHANG Kunyan1,2, CHEN Dandan2, YANG Yisheng1, WANG Dong3
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1.Jiangxi Institute for Drug Control, NMPA Key Laboratory for Quality Evaluation of Traditional Chinese Medicine(Traditional Chinese Patent Medicine), Jiangxi Provincial Engineering Research Center for Drug and Medical Device Quality, Nanchang 330029, China;2.School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China;3.Food Inspection and Testing Institute of Jiangxi Province, Jiangxi National Fruit and Vegetable Products and Processed Food Quality Supervision and Inspection Center, Nanchang 330001, China
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| Abstract: |
| OBJECTIVE To establish fingerprint of Lysimachia capillipes Hemsl. by HPLC, and to evaluate the quality of Lysimachia capillipes Hemsl. by cluster analysis and principal component analysis. METHODS Used the "Chinese medicine chromatographic fingerprint similarity evaluation" software(2012 edition), 12 batches of Lysimachia capillipes Hemsl. were evaluated for similarity, and SPSS 21.0 statistical software was used for system cluster analysis and principal component analysis. RESULTS The established HPLC fingerprint of Lysimachia capillipes Hemsl. defined 12 commons peaks and identified 5 common peaks. The similarity of 12 batches of samples was 0.949-0.997, indicating the similarity of 12 batchs of samples were good. Twelve batches of samples were clustered into 2 categories; S7 and S8 were clustered into one category; the rest were custered into the other category. As principal component analysis, principal component 1-3 were main influential factors of medcicinal material quality; accumulative variance contribution rate of them was 96.93%. CONCLUSION The established HPLC fingerprint of Lysimachia capillipes Hemsl., and the results of cluster analysis and principal component analysis can provide reference for quality evaluation of Lysimachia capillipes Hemsl. and its exploitation and utilization. |
| Key words: Lysimachia capillipes Hemsl. fingerprint cluster analysis HPLC principal component analysis |
