白三七及近源种药材指纹图谱与识别模式的构建及其应用研究
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摘要
目的建立并识别不同产地白三七药材HPLC指纹图谱,为其质量控制及标准制定提供参考。方法采用HPLC法建立白三七指纹图谱,同时应用相似度评价、聚类分析和主成分分析(PCA)对实验数据进行识别,以分析不同产地白三七药材间及同科同属5种药材的相似性及差异性,并通过总量统计矩法对白三七药材共有峰进行定性定量分析。结果白三七指纹图谱共标定16个共有峰,并指认了人参皂苷Rg1、Re、Rb1及竹节参皂苷V、IV、IVa色谱峰;其中竹节参皂苷V和IV在不同批次白三七样品中的质量波动较小;各产地白三七样品除产自四川大凉山样品(S7)外相似度在0.90以上;聚类分析及主成分分析均将白三七样品分为3类;五加科人参属5种药材成分总量统计矩参数差异较大。结论建立的白三七HPLC指纹图谱和化学识别模式可为其质量控制和区分同科同属5种药材提供科学依据。
Objective To establish and identify HPLC fingerprints of Panacis Japonici Rhizoma from different regions, and provide a scientific method for quality its control and standardization. Methods The fingerprints of Panacis Japonici Rhizoma were established based on HPLC method. The similarity evaluation, cluster analysis(CA), and principal component analysis(PCA) were applied for the experimental data, in order to find out the similarities and differences among the 10 batches of Panacis Japonici Rhizoma from different regions. Meanwhile, the qualitatively and quantitatively analyze were adopted in the common peaks of Panacis Japonici Rhizoma by total statistical moment method. Results The HPLC fingerprint with 16 common peaks was established, for the common chemical components, six were identified as ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, chikusetsusaponin V, chikusetsusaponin IV, and chikusetsusaponin IVa, respectively. Among them, the contents of chikusetsusaponin V and IV in different batches of PanacisJaponiciRhizoma samples showed little differences. The similarities of samples from various regions except S7 were over 0.90. The samples were classified into three categories by CA and PCA methods. The parameters of total statistical moment for five species of Panax genus showed significantly differences. Conclusion The developed HPLC fingerprint of Panacis Japonici Rhizoma combined with chemical pattern recognition can provide a scientific instruction for the quality control of Panacis Japonici Rhizoma and the differentiation of five herb medicines from Panax genus.
Objective To establish and identify HPLC fingerprints of Panacis Japonici Rhizoma from different regions, and provide a scientific method for quality its control and standardization. Methods The fingerprints of Panacis Japonici Rhizoma were established based on HPLC method. The similarity evaluation, cluster analysis(CA), and principal component analysis(PCA) were applied for the experimental data, in order to find out the similarities and differences among the 10 batches of Panacis Japonici Rhizoma from different regions. Meanwhile, the qualitatively and quantitatively analyze were adopted in the common peaks of Panacis Japonici Rhizoma by total statistical moment method. Results The HPLC fingerprint with 16 common peaks was established, for the common chemical components, six were identified as ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, chikusetsusaponin V, chikusetsusaponin IV, and chikusetsusaponin IVa, respectively. Among them, the contents of chikusetsusaponin V and IV in different batches of PanacisJaponiciRhizoma samples showed little differences. The similarities of samples from various regions except S7 were over 0.90. The samples were classified into three categories by CA and PCA methods. The parameters of total statistical moment for five species of Panax genus showed significantly differences. Conclusion The developed HPLC fingerprint of Panacis Japonici Rhizoma combined with chemical pattern recognition can provide a scientific instruction for the quality control of Panacis Japonici Rhizoma and the differentiation of five herb medicines from Panax genus.
引文
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[12]Liu X,Wu Z,Yang K,et al.Quantitative analysis combined with chromatographic fingerprint for comprehensive evaluation of Danhong injection using HPLC-DAD[J].J Pharm Biomed Anal,2013,76(6):70-74.
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[2]沈芳仪,刘杨,苏维,等.土家族“七”类药物考辩[J].湖南中医药大学学报,2015,35(1):1-6.
[3]欧阳丽娜,向大位,吴雪,等.竹节参化学成分及药理活性研究进展[J].中草药,2010,41(6):1023-1027.
[4]Hakimzadeh N,Parastar H,Fattahi M.Combination of multivariate curve resolution and multivariate classification techniques for comprehensive highperformance liquid chromatography-diode array absorbance detection fingerprints analysis of Salvia reuterana extracts[J].J Chromatogr A,2014,1326:63-72.
[5]胡远浪,袁丁,何毓敏,等.竹节参HPLC-ELSD指纹图谱和化学成分分析[J].中国中药杂志,2010,35(8):1009-1013.
[6]任冰.人参属药材竹节参和珠子参化学成分指纹图谱研究[D].武汉:武汉轻工大学,2015.
[7]贺福元,周宏灏,邓凯文,等.指纹图谱的一种定性定量研究新方法:总量统计矩分析法[J].药学学报,2008,43(2):195-201.
[8]王元清,韩彬,向荣,等.总量统计矩结合聚类分析与主成分分析评价虎杖饮片一致性与差异性[J].中草药,2015,46(19):2863-2869.
[9]董晓强,董文天,洪霞,等.三七、人参和西洋参化学成分与药效学之间的关系[J].承德医学院学报,2011,28(3):307-309.
[10]杨岩涛,吴春英,刘文龙,等.不同相似度法对当归补血汤指纹图谱分析的比较研究[J].中华中医药杂志,2013,28(5):1431-1435.
[11]曾慧婷,沙秀秀,宿树兰,等.不同产地丹参茎叶UPLC指纹图谱与化学模式识别研究[J].中草药,2017,48(4):767-772.
[12]Liu X,Wu Z,Yang K,et al.Quantitative analysis combined with chromatographic fingerprint for comprehensive evaluation of Danhong injection using HPLC-DAD[J].J Pharm Biomed Anal,2013,76(6):70-74.
[13]Gao F,Xu Z,Wang W,et al.A comprehensive strategy using chromatographic profiles combined with chemometric methods:Application to quality control of Polygonum cuspidatum Sieb.et Zucc[J].J Chromatogr A,2016,1466:67-75.