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藏药鸭嘴花的指纹图谱建立、化学模式识别及含量测定
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| 篇名： | 藏药鸭嘴花的指纹图谱建立、化学模式识别及含量测定 |
| TITLE： | Fingerprint establishment ，chemical pattern recognition and content determination of Tibetan medicine Adhatoda vasica |
| 摘要： | 目的 建立藏药鸭嘴花药材的指纹图谱，并测定鸭嘴花碱、鸭嘴花酮碱的含量，结合化学模式识别分析综合评价其质量。方法以鸭嘴花碱为参照，采用《中药色谱指纹图谱相似度评价系统（2012版）》建立11批鸭嘴花药材的高效液相色谱（HPLC）指纹图谱，指认共有峰并进行相似度评价；采用SPSS25、SIMCA14.1软件进行聚类分析、主成分分析、正交偏最小二乘法-判别分析，以变量重要性投影（VIP）值＞1.0为标准筛选影响鸭嘴花药材质量的差异性成分；采用HPLC法同时测定其中鸭嘴花碱、鸭嘴花酮碱的含量。结果11批鸭嘴花样品共有23个共有峰，指认2号峰为鸭嘴花碱、4号峰为鸭嘴花酮碱；相似度为0.920～0.994。聚类分析结果显示，11批样品可分为3类（距离为14），S1～S8为一类（产地云南、西藏）、S9为一类（产地云南），S10～S11为一类（产地四川）；主成分分析、正交偏最小二乘法-判别分析结果显示，S9、S10～S11分别为一类，S1～S8被进一步分为2类，S1、S4为一类，S2～S3、S5～S8为一类；VIP值＞1.0的共有峰包括2、16、21、17、1、13号峰。11批样品中，鸭嘴花碱、鸭嘴花酮碱的含量分别为4.12～10.22、0.60～3.26mg/g。结论所建HPLC指纹图谱和含量测定方法操作简单、准确，结合化学模式识别分析可用于评价藏药鸭嘴花的整体质量。鸭嘴花碱等成分可能是影响药材质量的差异性成分。 |
| ABSTRACT： | OBJECTIVE To establish the fingerprint of Tibetan medicine Adhatoda vasica ，and determine the contents of vasicine and vasicinone ，so as to comprehensively evaluate its quality combined with chemical pattern recognition. METHODS Using vasicine as control ，HPLC fingerprints of 11 batches of A. vasica were established with Similarity Evaluation System for Chromatographic Fingerprints of TCM （2012 edition）. The common peaks were identified and their similarities were evaluated. Cluster analysis （CA），principal component analysis （PCA）and orthogonal partial least squares-discriminant analysis （OPLS-DA） were performed by using SPSS 25 software and SIMCA 14.1 software. The variable importance in the projection （VIP）value＞1.0 was used as the standard to screen the differential components affecting the quality of A. vasica ；the contents of vasicine and vasicinone were determined by HPLC simultaneously. RESULTS A total of 23 common peaks were found ，and peak 2 was identified as vasicine ，and peak 4 was identified as vasicinone. Their similarities ranged 0.920-0.994. The results of CA showed that 11 batches of samples were clustered into 3 categories（distance was 14）：S1-S8 as one category （origin：Yunnan，Tibet），S9 as one category （origin：Yunnan），S10-S11 as one category （origin：Sichuan）；the results of P CA and OPLS-DA showed that S 9 and S10-S11 were divided into one category respectively ，and S1-S8 were further divided into 2 categories：S1，S4 as one category，S2-S3，S5-S8 as one category ；the common peaks with VIP value ＞1.0 included peak 2，peak 16，peak 21，peak 17，peak 1 and peak 13. Among 11 batches of samples ， contents of vasicine and vasicinone were 4.12-10.22 and 0.60-3.26 mg/g， respectively. CONCLUSIONS Established edu.cn HPLC fi ngerprint and content determination method are simple and accurate ，and can be used for the quality evaluation of Tibetan medicine A. vasica ，by combining with chemical pattern recognition. Vasicine and other components may be the differential components that affect the quality of the drug. |
| 期刊： | 2022年第33卷第14期 |
| 作者： | 干志强，熊双凤，钟镥，罗晴方，张艺 |
| AUTHORS： | GAN Zhiqiang，XIONG Shuangfeng，ZHONG Lu，LUO Qingfang，ZHANG Yi |
| 关键字： | 藏药；鸭嘴花；鸭嘴花碱；鸭嘴花酮碱；指纹图谱；化学模式识别；含量测定；高效液相色谱法 |
| KEYWORDS： | Tibetan medicine ；Adhatoda vasica ；vasicine；vasicinone；fingerprint；chemical pattern recognition ；content |
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