| 引用本文: | 曲彤,杨媛媛,胡静,任慧,崔小敏,李宁,王小彤,陈志永.飞蛾藤属植物的多指标含量测定及化学模式识别研究[J].中国现代应用药学,2022,39(19):2451-2456. |
| QU Tong,YANG Yuanyuan,HU Jing,REN Hui,CUI Xiaomin,LI Ning,WANG Xiaotong,CHEN Zhiyong.Multi-index Components Determination and Chemical Pattern Recognition of Porana Plants[J].Chin J Mod Appl Pharm(中国现代应用药学),2022,39(19):2451-2456. |
|
| |
|
|
| 本文已被：浏览 842次 下载 523次 |
码上扫一扫！ |
|
|
| 飞蛾藤属植物的多指标含量测定及化学模式识别研究 |
|
曲彤1, 杨媛媛2, 胡静1, 任慧1, 崔小敏1, 李宁1, 王小彤3, 陈志永1
|
|
1.陕西省中医药研究院, 西安 710003;2.西安市食品药品检验所, 西安 710054;3.上海中医药大学中药学院, 上海 201203
|
|
| 摘要: |
| 目的 建立HPLC测定飞蛾藤属植物多指标含量的方法，为飞蛾藤属植物的质量控制提供参考。方法 采用Agilent 5 TC-C18色谱柱(250 mm×4.6 mm，5 μm)，流动相乙腈-0.1%磷酸梯度洗脱，体积流量1.0 mL·min-1，柱温25 ℃，检测波长345 nm；并结合聚类分析、主成分分析及偏最小二乘判别分析评价飞蛾藤属植物中9种成分的差异。结果 9种成分在各自范围内线性关系良好(r>0.999 0)，精密度、稳定性及重复性试验结果的RSD均<3.00%，平均加样回收率为97.29%~103.21%。聚类分析、主成分分析及偏最小二乘判别分析结果显示，16批飞蛾藤属植物可明显分开，组内样品有很强的相似性，而组间样品差异较大。通过PLS-DA中变量重要性投影分析发现4个差异性指标成分，分别为绿原酸、异绿原酸A、N-反式-阿魏酰酪胺和东莨菪内酯。结论 建立了简便、精密的飞蛾藤属植物多指标含量测定方法，且通过统计方法证明绿原酸、异绿原酸A、N-反式-阿魏酰酪胺和东莨菪内酯为飞蛾藤属植物质量差异性评价的指标成分，为飞蛾藤属植物的区分及质量控制提供参考。 |
| 关键词: 质量控制 聚类分析 主成分分析 偏最小二乘判别分析 |
| DOI：10.13748/j.cnki.issn1007-7693.2022.19.004 |
| 分类号:R284.1 |
| 基金项目:国家自然科学基金项目(81973419,81603264);陕西省中医药管理局青年培优项目(2021-PY-003) |
|
| Multi-index Components Determination and Chemical Pattern Recognition of Porana Plants |
|
QU Tong1, YANG Yuanyuan2, HU Jing1, REN Hui1, CUI Xiaomin1, LI Ning1, WANG Xiaotong3, CHEN Zhiyong1
|
|
1.Shaanxi Academy of Traditional Chinese Medicine, Xi'an 710003, China;2.Xi'an Institute for Food and Drug Control, Xi'an 710054, China;3.School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
|
| Abstract: |
| OBJECTIVE To establish an HPLC method for the determination of multiple indexes of Porana plants,and to provide reference for the quality control of Porana plants. METHODS The determination was performed on Agilent 5 TC-C18 column with mobile phase consisted of acetonitrile-0.1% phosphate acid (gradient elution) at the flow rate of 1.0 mL·min-1.The column temperature was 25℃,and the detection wavelength was set at 345 nm.In addition,chemometrics methods including cluster analysis (CA),principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to evaluate the differences of 9 components between different Porana plants.RESULTS Nine components showed good linear relationships within their own ranges (r>0.999 0),the RSD of the precision,stability and repeatability test results were all<3.00%,whose average recoveries were 97.29%-103.21%.The results of CA,PCA showed that 16 batches Porana plants could be separated obviously,and the composition of the samples within the groups had strong similarity,but the differences among the groups were great.According to the variable importance in project analysis of PLS-DA,4 different index components were found,whose were chlorogenic acid and isochlorogenic acid A and N-trans-feruloyltyramine and scopoletin.CONCLUSION This simple and precise method can be used for determination of multiple indexes of Porana plants.The statistical method proves that chlorogenic acid,isochlorogenic acid A,N-trans-feruloyltyramine and scopoletin are the index components for the quality evaluation of Porana plants,which can provide reference for the distinction and quality control of Porana plants. |
| Key words: quality control cluster analysis principal component analysis partial least squares discriminant analysis |
|
|
|
|
