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吴茱萸指纹图谱及化学模式识别研究 被引量:5

HPLC Fingerprint and Chemical Pattern Recognition of Fructus Evodiae
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摘要 目的:采用HPLC梯度洗脱法研究34批吴茱萸药材样品的色谱图,对不同产地、不同品种的吴茱萸中药材采用指纹图谱相似度评价及聚类分析和主成分分析等化学模式识别技术进行研究,以期为吴茱萸中药材品种鉴别与品质评控提供参考。方法:色谱条件为Ultimate XB-C18色谱柱(4.6 mm×150.0 mm,3μm),流动相乙腈-1%乙酸水溶液梯度洗脱,流速0.8 mL·min-1,检测波长245 nm,进样量10μL,柱温25℃。结果:34批样品有11个共有峰,共有峰保留时间的RSD<1%,峰面积的RSD比较大。各批次药材品质较为一致,化学成分组成及含量上均存在一定差异。聚类分析及主成分分析从化学成分上揭示了2010年版《中国药典》规定3种吴茱萸中药材种质的远近关系。结论:以指纹图谱数据为基础,将聚类分析与主成分分析结合起来不仅可以进行吴茱萸中药材的质量控制乃至品种鉴别,还可以为下一步制定新的吴茱萸质量控制模式提供参考依据。 Objective: To establish a method of HPLC fingerprint and chemical pattern recognition of Fructus Evodiae. Method: The chromatographic separation was performed on a C18 column (4.6 mm×150 mm,3 μm).The mobile phase was a mixture of acetonitrile-0.1%acetic acid aqueous solution in gradient elution.The flow rate was 0.8 mL·min-1, the detection wavelength was 245 nm,the injection volume was 10 μL and the column temperature was 25℃.Then,the data from HPLC fingerprint were analyzed by similarity evaluation, principle component analysis and system cluster analysis. Result: The HPLC fingerprint of 34 batches Fructus Evodiae from different habits and varieties were set up and 11 common peaks were obtained.The RSD of the relative retention time of the common peaks was below 1%. The RSD of the relative peaks area was relative big. The distance between the three species of Fructus evodiae could be clustered by clustering analysis and principle component analysis method for the first time. Conclusion: The clustering analysis and principle component analysis method could be used for the quality control and comprehensive evaluation of Fructus Evodiae.
出处 《中国实验方剂学杂志》 CAS 北大核心 2013年第24期143-147,共5页 Chinese Journal of Experimental Traditional Medical Formulae
基金 国家"十二五"科技支撑计划项目(2011BAI04B04)
关键词 吴茱萸 品种鉴定 化学模式识别 质量控制与评价 Fructus Evodiae species identification chemical pattern recognition quality controland assessment
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