摘要
目的优化黄连有效成分的HPLC条件,建立肝豆灵片中黄连相关成分的定性定量分析方法。方法采用HPLC对肝豆灵片中黄连的有效成分进行定性定量分析。流动相为乙腈∶0.05 mol/L磷酸二氢钾溶液=50∶50(每100 mL中加十二烷基硫酸钠0.4 g,再以磷酸调节pH值为4.0),流速为1.0 mL/min,检测波长为345 nm。结果可以鉴别出黄连中表小檗碱、黄连碱、盐酸小檗碱和盐酸巴马汀4个成分,且阴性对照无干扰;盐酸小檗碱对照品进样量在0.058~0.580μg、盐酸巴马汀对照品进样量在0.030~0.300μg范围内与吸收度峰面积值呈良好的线性关系,平均回收率分别为98.18%、99.99%,RSD分别为2.40%、1.70%。结论本研究建立的方法操作简便、准确、重复性好,可用于肝豆灵片的质量控制。
Objective To optimize the HPLC conditions for active components of Coptidis Rhizoma; To establish qualitative and quantitative analysis method for related components of Coptidis Rhizoma in Gandouling Pills. Methods HPLC was used for the qualitative and quantitative analysis of related components of Coptidis Rhizoma in Gandouling Pills. With acetonitrile: 0.05 mol/L potassium dihydrogen phosphate solution = 50:50(per 100 mL was added 0.4 g sodium dodecyl sulfate, and then adjusted pH to 4.0 with phosphoric acid) as mobile phase, the flow rate was 1.0 mL/min and the detection wavelength was 345 nm. Results Four components of Coptidis Rhizoma can be identified, including berberine, coptisine, berberine hydrochloride and palmatine chloride, and the negative control had no disturbance. Berberine hydrochloride reference and the absorbance peak area value showed a good linear relationship within 0.058–0.580 μg sample volume, and palmatine chloride reference was the same within 0.030–0.300 μg sample volume. The average recovery was 98.18% and 99.99%, and RSD was 2.40% and 1.70%, respectively. Conclusion The method is simple, accurate and with good repeatability, which can be applied effectively to the quality control of Gandouling Pills.
作者
陈莉
王盛
秦秀娟
孟楣
CHEN Li;WANG Sheng;QIN Xiu-juan;MENG Mei(The First Affiliated Hospital of Anhui College of TCM, State Administration of National Chinese Drugs Medicament Laboratory of Grade 3, Hefei 230031, China)
出处
《中国中医药信息杂志》
CAS
CSCD
2018年第6期87-89,共3页
Chinese Journal of Information on Traditional Chinese Medicine
基金
安徽省科技厅科研计划项目(08020303082)
关键词
肝豆灵片
黄连有效成分
高效液相色谱法
定性分析
定量分析
Gandouling Pills
active components of Coptidis Rhizoma
HPLC
qualitative analysis
quantitative analysis