摘要
目的建立小叶黑柴胡UPLC指纹图谱分析方法并进行聚类分析。方法采用Waters BEHTMC18(50 mm×2.1 mm,1.7μm)色谱柱,以乙腈-水为流动相进行梯度洗脱,流速:0.6 mL.min-1,检测波长:203 nm,柱温:30℃。结果通过检测10批小叶黑柴胡药材,建立其UPLC指纹图谱,共标定了28个共有指纹峰,根据聚类分析结果,可将药材质量分为2大类,8个相似度较高的药材分为一类,相异度高的2、5号药材分为另一类。结论所用方法稳定、重复性好,可用于小叶黑柴胡药材的质量控制。
Objective To establish the fingerprint of Bupleurum. smithii Wolff var. parvifoliaum Shan et Y. Li by UPLC, and to carry out hierarchical cluster analysis. Methods Waters BEHTM C18 (50mm×2.1mm,1.7μm) column was used. The mobile phase was composed of acetontrile and water with a gradient elution. The flow rate was 0.6 mL·min^-1 with PDA detected at 203 nm. The column temperature was 30 ℃. Results After detecting 10 batches of Bupleurum. smithii Wolff vat. parvifoliaurn Shan et Y. Li, an UPLC fingerprint was developed with 28 common peaks. The 10 batches of samples could be divided into 2 grades by hierarchical cluster analysis. One group included 8 samples with high similarity, while No. 2 and No. 5 materials with high diversity was in the other group. Conclu- sion This method is stable and repeatable, and can be used to control the quality of Bupleurum. smithii Wolff vat. parvifoliaum Shan et Y. Li.
出处
《中南药学》
CAS
2010年第3期230-234,共5页
Central South Pharmacy
基金
北京市政府专项基金(0853279)
关键词
小叶黑柴胡
超高效液相色谱
指纹图谱
聚类分析
Bupleurum. smithii Wolff vat. parvifoliaum Shan et Y. Li
UPLC
fingerprint
cluster analysis