摘要
本文采用流动注射(flow injection,FI)技术结合Qtrap质谱(Qtrap-MS)特有的分步多离子监测扫描方式(step-wise multiple ion monitoring,step-wise MIM),首次对8种九里香属Murraya植物进行了较为快速的鉴别区分。每个样品分析仅需要5 min,便可检测约600个化合物。将质谱信息经过处理后,采用多元统计软件进行分析,发现九里香组sect.Murraya和棕茎组sect.Bergera植物各自聚集,分类明显,表明两组植物间的化学成分存在差异。进一步对质谱数据进行分析,发现其能直观反映不同植物中的成分类别:其中九里香和翼叶九里香主要含有香豆素类成分,千里香富含多甲氧基黄酮,棕茎组植物则主要含有咔唑生物碱类成分,与作者之前对该属植物的系统化学成分分析结果一致。总之,本研究证实FI-Qtrap-MS技术可用于药用植物的快速鉴别,实现同属植物的快速区分,为其化学分类学提供参考,同时该技术也为中药材的质量评价提供新方法。
In this study,the flow injection(FI)technology combined with the unique step wise multiple ions monitoring scanning(step-wise MIM)mode of Qtrap-MS was first established for the identification and discrimina‐tion of eight Murraya species.It only takes 5 min for each sample to detect approximate 600 compounds.The characteristic MS chromatograms of eight Murraya plants were analyzed by Analyst and SIMCA-P.The results of PCA showed that sect.Murraya and sect.Bergera were clearly divided into two categories,suggesting that there is difference in the chemical compositions between these two groups.Further detail analysis of the MS data could realize the preliminary structure elucidation of the component types contained in different plants.The main compo‐nents in M.exotica and M.alata are coumarins,and polymethoxyflavones are rich in M.paniculata,while carba‐zole alkaloids are the major ones in sect.Bergera plants.The results are consistent with our previous comprehen‐sive analysis of the chemical components of Murraya species.In conclusion,our research confirmed that FI-QtrapMS technology can be used for rapid identification and differentiation of similar plant species,providing reference for chemical taxonomy and a new method for the quality evaluation of medicinal materials.
作者
梁海珍
袁硕
高鹏
屠鹏飞
姜勇
LIANG Hai-zhen;YUAN Shuo;GAO Peng;TU Peng-fei;JIANG Yong(State Key Laboratory of Natural and Biomimetic Drugs,School of Pharmaceutical Sciences,Peking University,Beijing 100191,China)
出处
《药学学报》
CAS
CSCD
北大核心
2023年第8期2454-2460,共7页
Acta Pharmaceutica Sinica
基金
国家自然科学基金面上项目(81973199,81773864,81473106).
