不同产地蒙古黄芪茎叶UPLC指纹图谱建立及化学模式识别研究

Study on establishment of UPLC fingerprints and chemical pattern recognition of the stems and leaves of Astragalus membranaceus var.mongholicus(Bge.)Hsiao from different regions

目的建立蒙古黄芪Astragalus membranaceus茎叶UPLC指纹图谱及含量测定方法,并对不同产地多个批次蒙古黄芪茎叶样品进行比较分析,为蒙古黄芪茎叶资源的利用与质量控制提供参考。方法采用ACQUITYTMUPLC BEH C18色谱柱(100 mm×2.1 mm,1.7μm),以0.1%甲酸水-乙腈为流动相,梯度洗脱,检测波长为350 nm,建立蒙古黄芪茎叶指纹图谱;采用电喷雾离子源-四极杆-飞行时间质谱(ESI-Q-TOF/MS)对共有峰进行鉴定;同时建立其含量测定方法。结合聚类分析和主成分分析法,对不同批次蒙古黄芪茎叶进行质量评价。结果建立了蒙古黄芪茎叶UPLC指纹图谱,共标定了25个共有峰,并鉴定了其中13个色谱峰,均为黄酮类成分;建立了异槲皮苷、紫云英苷、异鼠李素-3-O-葡萄糖苷的含量测定方法;17批黄芪茎叶的相似度在0.933~0.987;通过聚类分析将样品分为2大类;主成分分析与聚类分析结果一致。结论通过UPLC指纹图谱结合化学模式识别方法,建立了一种快速、有效的蒙古黄芪茎叶品质评价方法,可为蒙古黄芪茎叶的资源化利用提供客观依据。

Objective To establish the UPLC fingerprint and content determination method of the stems and leaves of Astragalus membranaceus var.mongholicus(Bge.)Hsiao(SLAM),and to compare and analyze multiple batches of SLAM from different origins,so as to provide reference for the utilization and quality control of SLAM resources.Methods ACQUITYTM UPLC BEH C18 column(100 mm×2.1 mm,1.7μm)was used.Mobile phase was 0.1%formic acid water and acetonitrile,gradient elution,detection wavelength was 350 nm;The common peaks were identified by electrospray ion source-quadrupole-time-of-flight mass spectrometry(ESI-Q-TOF/MS);At the same time,the content determination method was established.Cluster analysis and principal component analysis were used to evaluate the quality of SLAM of different batches.Results The UPLC fingerprint of SLAM was established,25 common peaks were calibrated,and 13 chromatographic peaks were identified,all of which were flavonoids;The content determination method of isoquercitrin,astragalin and isorhamnetin-3-O-glucopyranoside was established;The similarities of 17 batches of SLAM were in the range of 0.933—0.987.The samples were divided into two categories by cluster analysis.The results of principal component analysis and cluster analysis are consistent.Conclusion A rapid and effective method for quality evaluation of SLAM was established by UPLC fingerprint and chemical pattern recognition method,which can provide objective basis for the resource utilization of SLAM.