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基于指纹图谱和多成分含量测定的关黄柏及川黄柏差异性研究
引用本文:冯媛,郭龙,常雅晴,郑玉光,张清清.基于指纹图谱和多成分含量测定的关黄柏及川黄柏差异性研究[J].中草药,2022,53(16):5179-5184.
作者姓名:冯媛  郭龙  常雅晴  郑玉光  张清清
作者单位:河北中医学院药学院, 河北 石家庄 050200;河北中医学院药学院, 河北 石家庄 050200;河北省中药炮制技术创新中心, 河北 石家庄 050200;河北省中药炮制技术创新中心, 河北 石家庄 050200;河北省中药资源利用与质量评价国际联合研究中心, 河北 石家庄 050200;河北中医学院药学院, 河北 石家庄 050200;河北省高校中药组方制剂应用技术研发中心, 河北 石家庄 050091
基金项目:河北省基础研究计划自然科学基金资助项目(H2019423103);河北中医学院优秀青年教师基础研究计划项目(YQ2018008);河北省二期现代农业产业技术体系创新团队项目(HBCT2018060205)
摘    要:目的 采用HPLC法建立关黄柏及川黄柏药材指纹图谱,并同时测定5种有效成分的含量,评价关黄柏及川黄柏药材的质量差异。方法 运用HPLC法分别建立10批关黄柏药材和10批川黄柏药材指纹图谱,通过对照品比对,对共有峰进行指认,并测定5种有效成分的含量;对关黄柏及川黄柏药材指纹图谱进行相似度评价,并利用主成分分析(principal component analysis,PCA)和正交偏最小二乘法-判别分析(orthogonal partial least squares discriminant analysis,OPLS-DA)方法对关黄柏及川黄柏中差异性成分进行分析。结果 关黄柏和川黄柏药材指纹图谱有6个共有峰,指认出其中5个峰,分别是木兰花碱、盐酸药根碱、小檗红碱、巴马汀、小檗碱。通过PCA和OPLS-DA分析筛得关黄柏与川黄柏的3个差异性标志物,分别为木兰花碱、巴马汀和小檗碱,其中巴马汀的含量差异最显著。结论 该方法能有效分析关黄柏及川黄柏质量的差异性,为关黄柏及川黄柏的质量评价与控制提供参考。

关 键 词:关黄柏  川黄柏  高效液相色谱法  指纹图谱  多元统计分析  木兰花碱  巴马汀  小檗碱  小檗红碱  盐酸药根碱
收稿时间:2021/12/6 0:00:00

Research on difference of Phellodendron amurense and Phellodendron chinense based on fingerprint and multicomponent content determination
FENG Yuan,GUO Long,CHANG Ya-qing,ZHENG Yu-guang,ZHANG Qing-qing.Research on difference of Phellodendron amurense and Phellodendron chinense based on fingerprint and multicomponent content determination[J].Chinese Traditional and Herbal Drugs,2022,53(16):5179-5184.
Authors:FENG Yuan  GUO Long  CHANG Ya-qing  ZHENG Yu-guang  ZHANG Qing-qing
Affiliation:College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, China;College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, China;Hebei Traditional Chinese Medicine Processing Technology Innovation Center, Shijiazhuang 050200, China;Hebei Traditional Chinese Medicine Processing Technology Innovation Center, Shijiazhuang 050200, China;International Joint Research Center on Resource Utilization and Quality Evaluation of Traditional Chinese Medicine of Hebei Province, Shijiazhuang 050200, China; College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, China;Hebei Higher Education Institute Applied Technology Research Center on TCM Formula Preparation, Shijiazhuang 050091, China
Abstract:Objective To evaluate the difference of Phellodendron amurense and P. chinense by establishing HPLC fingerprint and determining contents of five effective components. Methods The HPLC fingerprints of 10 batches of P. amurense and 10 batches of P. chinense were established by HPLC method, and the common peaks were identificated by reference substances. The contents of five effective components were determined. Similarity evaluation of the fingerprints were carried out, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to find the differential components of P. amurense and P. chinense. Results There were six common peaks in the fingerprints of P. amurense and P. chinense. By comparing with the reference substances, five common peaks were identified, they were magnoflorine, jatrorrhizine, berberrubine, palmatine and berberine, respectively. Three biomarkers were determined by PCA and OPLS-DA method in the fingerprints of P. amurense and P. chinense, they were magnoflorine, palmatine and berberine respectively. The content difference of palmatine was the most significant. Conclusion This method can effectively analyze the quality differences of P. amurense and P. chinense and provide reference for its quality evaluation and control.
Keywords:Phellodendron amurense Rupr    Phellodendron chinense Schneid    HPLC  fingerprint  multivariate statistical analysis  magnoflorine  palmatine  berberine  berberrubine  jatrorrhizine
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