HPLC-MS/MS指纹图谱模式识别结合化学计量学对文王一支笔特征标志物的差异分析
Differential analysis of feature markers of Balanophora involucrata Hook.f.by HPLC-MS/MS fingerprint pattern recognition coupled with chemometrics
殷莉 1张彦波 1郑金红 1程刚 1李征远 2陈桂林3
作者信息
- 1. 十堰市中西医结合医院,湖北十堰 442001
- 2. 湖北医药学院生物医药研究院,湖北十堰 442000
- 3. 中国科学院武汉植物园,武汉 430074
- 折叠
摘要
文王一支笔为蛇菰科植物筒鞘蛇菰(Balanophora involucrate Hook.f.)的干燥全草,是鄂西地区特色民族珍稀药材.本研究首先利用HPLC-MS/MS技术建立了鄂西十堰地区5个产地10个批次文王一支笔的根茎、花茎和花序 3个部位的化学指纹图谱,标定了其中 29个共有峰,并推断了 27个色谱峰的化学结构,包括 13个酚酸类和8个黄酮类成分.聚类分析(CA)及主成分分析(PCA)结果显示,文王一支笔地下(根茎)与地上(花茎、花序)部位化学成分差异较大,花茎与花序间化学成分差异较小.正交偏最小二乘法-判别分析(OPLS-DA)中VIP值分析结果表明,峰 12、8、2、3、17、21、9和 22是引起文王一支笔不同药用部位化学成分差异的潜在标志性成分(Q-marker),可作为其质量控制的依据.
Abstract
Balanophora involucrate Hook.f.is a rare medicinal herb with a long history of clinical use in the western Hubei region.However,comprehensive and systematic comparative analyses of its chemical compo-nents in different medicinal parts are lacking.In this study,HPLC-MS/MS technology was applied to establish the chemical fingerprints of the rhizome,flower stem,and inflorescence of 10 batches of B.involucrate from five production areas in western Hubei.In total,29 common peaks were calibrated,and the chemical struc-tures of 27 chromatographic peaks were tentatively identified,including 13 phenolic acids and eight flavonoids.Cluster analysis(CA)and principal component analysis(PCA)revealed significant differences in chemical compositions between the underground(rhizome)and aboveground(flower stem,inflorescence)parts,while differences in chemical compositions between the flower stem and inflorescence were relatively small.The variable importance in projection(VIP)values in orthogonal partial least squares discriminant ana-lysis(OPLS-DA)indicated that peaks 12,8,2,3,17,21,9,and 22 were potential quality markers(Q-markers)among different medicinal parts and could serve as the chemical basis for quality control.
关键词
文王一支笔/HPLC-MS/MS/指纹图谱/化学计量学/特征标志物/质量评价Key words
Balanophora involucrate/HPLC-MS/MS/Fingerprint/Chemometrics/Feature markers/Quality assessment引用本文复制引用
基金项目
湖北省卫健委中医药科研项目(ZY2021Q035)
出版年
2024
NETL
NSTL
万方数据