Chemical Discrimination of Cortex Phellodendri amurensis and Cortex Phellodendri chinensis by Multivariate Analysis Approach.
Chemical Discrimination of Cortex Phellodendri amurensis and Cortex Phellodendri chinensis by Multivariate Analysis Approach.
复制标题
多元分析法对黄柏和黄柏的化学成分鉴别
DOI：
10.4103/0973-1296.176023
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发表时间：
2016-01
影响因子：
0.7
通讯作者：
Wang X
中科院分区：
文献类型：
--
作者：
Sun H;Wang H;Zhang A;Yan G;Han Y;Li Y;Wu X;Meng X;Wang X
由于草药在全球卫生保健系统中占有重要地位，其当前的评估和质量控制是一个主要瓶颈。川黄柏和川黄柏在我国被广泛应用，如何鉴别川黄柏和川黄柏的种类已成为当务之急。本研究采用多变量分析方法对CPA和CPC的化学鉴别进行了研究。主成分分析结果表明，两种药材可以很好地分离。采用正交偏最小二乘判别分析法对小檗碱、巴马汀、川楝素、木兰花碱、obacunone和obaculactone等化学标记物进行了鉴定，并采用四重飞行时间质谱法对这些化学标记物进行了初步鉴定。共有29种成分可作为鉴别CPA和CPC的化学标记物。其中，氯己定在CPC中的含量显著高于CPA，而奥卡酮和奥卡内酯在CPA中的含量显著高于CPC。本研究证明，基于多元分析的化学分析方法对CPA和CPC的研究有很大的贡献，并表明所鉴定的化学标志物作为一个整体可用于区分两种草药，同时也为它们的质量评价提供了化学信息。采用多元分析方法对中草药进行化学成分分析，筛选出29种成分作为化学成分的标记物。用于草药样品的基于UPLC-Q/TOF-MS的多变量分析方法所用缩写：CPC：北白皮，CPA：苦皮，PCA：主成分分析，OPLS-DA：正交偏最小二乘判别分析，BPI：基峰离子强度
As herbal medicines have an important position in health care systems worldwide, their current assessment, and quality control are a major bottleneck. Cortex Phellodendri chinensis (CPC) and Cortex Phellodendri amurensis (CPA) are widely used in China, however, how to identify species of CPA and CPC has become urgent. In this study, multivariate analysis approach was performed to the investigation of chemical discrimination of CPA and CPC. Principal component analysis showed that two herbs could be separated clearly. The chemical markers such as berberine, palmatine, phellodendrine, magnoflorine, obacunone, and obaculactone were identified through the orthogonal partial least squared discriminant analysis, and were identified tentatively by the accurate mass of quadruple-time-of-flight mass spectrometry. A total of 29 components can be used as the chemical markers for discrimination of CPA and CPC. Of them, phellodenrine is significantly higher in CPC than that of CPA, whereas obacunone and obaculactone are significantly higher in CPA than that of CPC. The present study proves that multivariate analysis approach based chemical analysis greatly contributes to the investigation of CPA and CPC, and showed that the identified chemical markers as a whole should be used to discriminate the two herbal medicines, and simultaneously the results also provided chemical information for their quality assessment. Multivariate analysis approach was performed to the investigate the herbal medicine The chemical markers were identified through multivariate analysis approach A total of 29 components can be used as the chemical markers. UPLC-Q/TOF-MS-based multivariate analysis method for the herbal medicine samples Abbreviations used: CPC: Cortex Phellodendri chinensis, CPA: Cortex Phellodendri amurensis, PCA: Principal component analysis, OPLS-DA: Orthogonal partial least squares discriminant analysis, BPI: Base peaks ion intensity