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。

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.

R286.2

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）