栀子多波长HPLC指纹图谱及化学模式识别研究  

Multiple wavelength HPLC fingerprint and chemical pattern recognition of Gardeniae Fructus

作　　者：苗琦[1] 罗光明[1] 罗扬婧[1] 葛菲[1] 朱玉野[1] 付小梅[1] 胡生福[1] 朱继孝[1] 董艳凯 张兰[1] 

机构地区：[1]江西中医药大学江西省中药种质资源工程技术研究中心,江西南昌330004

出　　处：《中草药》2014年第21期3159-3164,共6页Chinese Traditional and Herbal Drugs

基　　金：国家科技部"十二五"科技支撑计划课题--栀子的规范化种植及开发利用研究(2011BAI04B01);中央本级重大增减支项目--栀子质量特征和商品规格研究(20603020110);中央本级重大增减支项目--栀子全国生产区划研究(20603020213);江西中医药大学校级研究生创新专项资金项目--大宗药材栀子全国生产区划研究(JZYC14C09)

摘　　要：目的采用多波长HPLC法研究67批栀子药材,对不同产地的栀子采用指纹图谱相似度评价及聚类分析和主成分分析(PCA)等化学模式识别技术进行研究,以期为栀子药材品质评控和生产区划提供参考。方法色谱条件为Durashell C18(250 mm×4.6 mm,5μm),流动相为乙腈-0.1%磷酸水溶液,梯度洗脱,体积流量0.8 m L/min,检测波长238、330、440nm,进样量10μL,柱温30℃。结果 67批样品有16个共有峰,共有峰保留时间的RSD<1%,峰面积的RSD比较大。各批次药材化学成分组成及量均存在一定差异。采用聚类分析及PCA从化学成分上揭示了67批样品的相似性及差异性。结论以指纹图谱数据为基础,将聚类分析与PCA结合起来,不仅可以进行栀子药材的质量控制,还可以为下一步栀子全国生产区划研究提供理论支持。Objective To establish a method of multiple wavelength HPLC fingerprint and chemical pattern recognition of Gardeniae Fructus. Methods The chromatographic separation was performed on a C18 column （4.6 mm × 250 mm, 5 μm）. The mobile phase was a mixture of acetonitrile-0.1% phosphoric acid aqueous solution in gradient elution. The flow rate was 0.8 mL/min, the detection wavelengths were 238, 330, and 440 nm, the injection volume was 10 μL, and the column temperature was 30℃C. Then, the data from HPLC fingerprint were analyzed by similarity evaluation, principle component analysis, and system cluster analysis. Results The HPLC fingerprint of 67 batches of Gardeniae Fructus from different habitats and varieties were set up and 16 common peaks were obtained. The RSD of the relative retention time of the common peaks was below 1%. The RSD of the relative peak area was relative bigger. Conclusion The combination of clustering analysis and principle component analysis could be used for the quality control and provide the theoretical support for the further regionalization of Gardeniae Fructus all over China.

关 键 词：栀子 化学模式识别 质量控制与评价 聚类分析 生产区划 

分 类 号：R286.022[医药卫生—中药学]