摘要
目的:建立黄芩药材的HPLC指纹图谱,优化黄芩的提取方法和色谱条件,确定某些化学成分。方法:采用梯度洗脱方法进行色谱分离,Agilent TC-C18柱(4.6mm×250mm,5μm),流动相:乙腈与0.1%冰醋酸溶液进行梯度洗脱,检测波长276nm,流速1.0ml/min,柱温25℃,使用标准品对其化学成分进行确定。结果:以水:乙醇:乙酸乙酯:冰醋酸(50:49:5:1)为提取溶剂,以乙腈与0.1%冰醋酸溶液进行梯度洗脱色谱峰分离效果较好并确定7种化学成分,优化了黄芩药材的HPLC指纹图谱。结论:本文建立的方法能较多的分离出色谱峰,可为黄芩药材的指纹图谱评价及物质基础的确定提供依据。
Objective：To set up finger print of Scutellaria baicalensis Georgi, optimize extracting method and chromatogram condition, define some chemical constituents.Methods：Gradient mobile system was applied in this study. The HPLC separation was performed on Agilent TC-C18（4.6mm×250mm,5μm） analytical column gradient with acetonitrile-0.1% glacial acetic acid, detection wavelength was 276nm, flow rate was 1.0ml/min, column temperature was 25℃ ; defined the chemical constituents by standard substance.Results：7 kinds chemical constituents were defined by using water： acetidin： glacial acetic acid （50：49：5：1） as extraction solvent and the HPLC finger print of Scutellaria baicalensis Georgi was optimized.Conclusions：This method can separate more chromatographic peak, and can provide basis for evaluating finger print and defining material basis of Scutellaria baicalensis Georgi.
出处
《承德医学院学报》
2011年第4期358-360,共3页
Journal of Chengde Medical University
关键词
黄芩
指纹图谱
优化
化学成分
Scutellaria baicalensis Georgi
Fingerprint
Optimization
Chemical constituent
