娑罗子药材HPLC指纹图谱的建立及其在药材鉴定中的应用

HPLC Fingerprint of Aesculi Semen and Its Application in Identification of Medicinal Materials

目的：建立娑罗子药材的高效液相色谱指纹图谱分析方法,检测不同产地娑罗子药材的化学成分,并进行聚类分析,为娑罗子药材的真伪鉴别和质量研究提供依据。方法：采用Agilent ZORBAX SB-C18色谱柱（4.6 mm×150 mm,5μm）,流动相为乙腈-0.2%磷酸水溶液,梯度洗脱;流速1.0 m L·min^-1,检测波长220 nm,柱温30℃,进样量为10μL;采用＂中药色谱指纹图谱相似度评价系统（2004A）＂,对采集的36批娑罗子药材进行指纹图谱分析及相似度评价,并结合药材性状特征探讨品种鉴别方法;运用SPSS 19.0统计学软件对36批药材进行聚类分析。结果：建立了36批不同产地七叶树属植物药材的化学成分指纹图谱,相似度为0.657~0.994;将药材分为4大类,其中包括天师栗、七叶树、浙江七叶树以及混淆品种云南七叶树,用对照品指认了2个主要化学成分,分别为七叶皂苷A和七叶皂苷B;聚类分析将36批药材分为4类,与相似度分类结果完全一致。结论：该研究建立了娑罗子药材的HPLC指纹图谱分析方法,为其进一步质量研究提供理论依据。

Objective： To establish an analysis method for high performance liquid chromatography（ HPLC） fingerprint of Aesculi Semen,detect the chemical constituents in Aesculi Semen from different origins and conduct cluster analysis,providing basis for its identification and quality control. Method： The conditions of separation and detection were achieved on an Agilent ZORBAX SB-C18 column（ 4. 6 mm × 250 mm,5 μm） with acetonitrile-0. 2% phosphoric acid solution as the mobile phase for gradient elution. The flow rate was1. 0 m L·min^-1; the detection wavelength was 220 nm; the column temperature was 30 ℃,and the injection volume was 10 μL. The similarity evaluation system for chromatographic fingerprint of traditional Chinese medicine（ 2004 A） was adopted for fingerprint analysis and similarity evaluation of the 36 batches of Aesculi Semen samples,and the identification method was discussed in combination with the characteristics of medicinal materials. SPSS19. 0 statistical software was used for cluster analysis. Result： A preferable method for fingerprint determination of Aesculus was established, with a similarity of 0. 657-0. 994. The medicinal materials were divided into four categories,including A. wilsonii,A. chinensis,A. chinensis var. chekiangensis and its adulterants A. wangii var.wangii. By comparing with control products,two chemical components were identified as escin A and escin B. 36 batches of these samples were also divided into 4 categories in cluster analysis,consistent with the similarity classification results. Conclusion： This study can be used for the determination of Aesculi Semen fingerprint and provides a theoretical basis for its further quality study.