目的 探究黄芪的3个重要产地(山西浑源与朔州、甘肃渭源与岷县、陕西子洲)所产黄芪饮片的成分差异，为其基原鉴定与质量研究提供参考依据。方法 用超高效液相色谱-四级杆/静电场轨道阱高分辨质谱技术(UHPLC-Q-Orbitrap-MS)测定3个不同产地黄芪饮片的化学成分。以变量投影重要性(VIP)＞1、P＜0。05为标准，筛选获得其显著差异成分，用SIMCA软件对所得化合物及差异化合物进行聚类分析、偏最小二乘法判别分析(partial least squares discriminant analysis，PLS-DA)。结果 4-羟基肉桂酸、胱氨酸、刺芒柄花素等21个化合物在甘肃、陕西、山西3个产地黄芪之间存在显著差异，其中甘肃与山西产地的黄芪差异性成分有1个，山西与陕西产地的黄芪差异成分有11个，甘肃与陕西产地的黄芪差异成分有18个。结论 基于UHPLC-Q-Orbitrap-MS液质联用技术及聚类分析、PLS-DA等成分分析方法所得21个差异性成分，可为不同产地及品种黄芪饮片的来源鉴定及质量控制提供理论依据。
Comparison of the difference of chemical compositions in Astragali radix decoc-tion pieces from different origins by UHPLC-Q-Orbitrap-MS
Objective To explore the differential components of Astragali radix decoction pieces produced by 3 important production ar-eas(Hunyuan and Shuozhou in Shanxi,Weiyuan and Minxian in Gansu,and Zizhou in Shaanxi)and to provide a reference basis for identifying their origin and quality research.Methods The chemical compositions of Astragali radix decoction pieces from 3 different origins were determined based on UHPLC-Q-Orbitrap-MS liquid-mass spectrometry system.Their significantly differential compo-nents were obtained by variable projection importance(VIP)＞1 and P＜0.05 and the differential compounds were subjected to clus-ter analysis and partial least squares discriminant analysis(PLS-DA)using SIMCA software.Results 21 compounds,including 4-hy-droxycinnamic acid,cystine,prickly mangosteen,were significantly differential between Gansu,Shaanxi and Shanxi,with 1 differen-tial component between Gansu and Shanxi,11 differential components between Shanxi and Shaanxi,and 18 differential components between Gansu and Shaanxi.Conclusion Total of 21 differential components based on the UHPLC-Q-Orbitrap-MS liquid-mass spectrometry system and component analysis methods such as clustering and PLS-DA could provide a theoretical basis for guiding the identification of the medicinal origin and quality control of Astragali radix decoction pieces.
Astragali radix decoction piecesdifferent originsUHPLC-Q-Orbitrap-MSpartial least squares discriminant analysisvariance analysis
NETL
NSTL
万方数据
维普
