摘要
目的建立不同产地翻白草UPLC指纹图谱，为其质量控制提供较为科学的依据。方法采用ACQUITY UPLC BEH C18色谱柱（2．1mm×100mm，2．1μm），乙腈-0．05％磷酸水溶液为流动相梯度洗脱，流速0．4ml·min^-1，检测波长：254nm。结果建立了16个产地翻白草药材的指纹图谱共有模式，确定了15个共有峰，16批样品相似度在0．628～0．991；通过聚类分析，16批翻白草药材可大致聚成4类；通过主成分分析，计算各个指纹峰的主成分分值，4个主成分累计变量贡献值达到88．874％。结论该方法快速简便，可用于评价翻白草药材质量。
Objective To establish an UPLC finqerprints of Potentilla discolor from different habitats and provide a scientific basis for its quality control. Methods The chromatographic condition was as follow： ACQUITY BEH C18 Column （ 2.1 mm × 100 mm, 1.7 μm） eluted with the mobile phases of methanol, acetonitrile, and 0.2% phosphoric acid water in gradient mode. The flow rate was 0.40 mlomint and the detection wavelength was set at 254 nm. Results The mutual mode of fingerprints of 20 batches Potentilla discolor was established. There were 15 common peak; and the similar degrees of the 16 samples to the common mode were between 0.628 and 0.996. The 16 batches of Potentilla discolor can be gathered into 4 categories through cluster analysis. The PCA value of each fingerprint peak was calculated; 4 principal components accounted for over 88.874%; the total variance were extracted from the original data. Conclusion This method is quick and easy and could be used to evaluate the quality of Potentilla discolor.
出处
《国际医药卫生导报》
2017年第15期2441-2446,共6页
International Medicine and Health Guidance News
关键词
翻白草
产地
UPLC
指纹图谱
聚类分析
主成分分析
Potentilla discolor
different habitats
UPLC
chromatographic fingerprint
cluster analysis
PCA
