目的 建立能有效区分黄柏Phellodendri Chinensis Cortex与其易混淆品种关黄柏Phellodendri Amurense Cortex的特征图谱及一测多评方法，促进黄柏临床用药的安全性与有效性。方法 利用HPLC对黄柏中化学成分进行分析，对色谱条件进行优化，确定最佳色谱条件，建立特征图谱，利用主成分分析（principal component analysis，PCA）和正交偏最小二乘判别分析（orthogonal partial least squares discriminant analysis，OPLS-DA）对特征图谱数据进行分析，筛选和确认差异性化合物，以盐酸小檗碱为参照物，建立一测多评方法测定黄柏主要有效成分含量。结果 所建立的特征图谱及一测多评方法能鉴别黄柏与关黄柏，以木兰花碱、盐酸巴马汀、盐酸小檗碱以及一未知化合物（7号峰）为差异性化合物，黄柏中盐酸小檗碱含量明显高于关黄柏，黄柏中盐酸巴马汀峰面积极低而关黄柏中其峰面积较高。黄柏中木兰花碱的含量较低而未知化合物（7号峰）峰面积较高。结论 所建立的特征图谱和一测多评方法简便，可作为《中国药典》修改标准的参考，用于黄柏的质量控制。

Objective To establish HPLC characteristic fingerprint and single standard to determine multi-components methods to effectively distinguish Huangbai (Phellodendri Chinensis Cortex) from its confusing species, Phellodendri Amurense Cortex, so as to promote the efficacy and safety of Phellodendri Chinensis Cortex. Methods HPLC was used to analyze the chemical components from Phellodendri Chinensis Cortex. The chromatographic conditions were optimized, the best chromatographic conditions were determined, and then the characteristic chromatogram was established. The differential compounds were screened and confirmed through PCA and OPLS-DA based on characteristic chromatogram data. Berberine hydrochloride was used as the reference compound to establish a single standard to determine multi-components method for the determination of the main effective components in Phellodendri Chinensis Cortex. Results The established characteristic profile and the multiple evaluation methods were able to identify Phellodendri Chinensis Cortex and Phellodendri Amurense Cortex. Magnoflorine, palmatine hydrochloride, berberine hydrochloride and one unknown compound were identified to be the differential compounds. The level of berberine hydrochloridee was significantly higher in Phellodendri Chinensis Cortex than in Phellodendron Amurense Cortex. Berberine hydrochloride was not detected in Phellodendri Chinensis Cortex, but its peak area was high in Phellodendron Amurense Cortex. The level of magnoflorine in Phellodendri Chinensis Cortex is lower than that in Phellodendron Amurense Cortex, contrary to the peak area of the unknown compound (peak 7). Conclusion The methods developed herein were simple and crudible for the discrimination of Phellodendri Chinensis Cortex and Phellodendri Amurense Cortex. They therefore can be the references for improving the quality control standard of Chinese Pharmacopoeia when revising the Chinese Pharmacopoeia.

R286.2

国家重点研发计划中医药现代化研究重点专项-中药国际标准示范研究（2018YFC1707900）；长沙市自然科学基金资助项目（kq2014086）；湖南省科学技术厅重点研发计划项目（2018SK2119）；湖南省自然科学基金资助项目（2020JJ4064）