摘要
目的优化中药枳实的质量控制方法。方法建立定性鉴别枳实中橙皮苷、新橙皮苷、柚皮苷、芸香柚皮苷、辛弗林及N-甲基酪胺的薄层色谱(thin layer chromatography,TLC)方法,并通过方法学考察;优化定量检测辛弗林的高效液相色谱(high performance liquid chromatography,HPLC)法。结果TLC斑点清晰,与其他成分的分离度良好,专属性强,R_(f)值均在0.2~0.8范围内;辛弗林质量浓度在18.75~300μg·mL^(-1)范围内线性关系良好,回归方程为y=1985.6 x-2610.3,R^(2)=0.9998,平均加样回收率为100.32%,RSD值为2.79%。结论新建的质量控制方法专属性强,稳定性好,操作简便,可快速、准确地对枳实饮片进行定性和定量分析,以甄别其质量优劣,可广泛应用于枳实的品质评价。
Objective To optimize the quality control method of the decoction pieces of Aurantii Fructus.Methods Thin-layer chromatography(TLC)was established for the qualitative identification of hesperidin,neohesperidin,naringin,narirutin,synephrine and N-methyltyramine in the decoction pieces of Aurantii Fructus for the first time,and its methodology was investigated.A high performance liquid chromatography(HPLC)method for the quantitative determination of synephrine was developed.Results The spots of TLC were clear.The separation from other components was good,and the R_(f) values were all between 0.2 and 0.8.The linear range of synephrine was in the range of 18.75-300μg·mL^(-1),and the regression equation was y=1985.6 x-2610.3,R^(2)=0.9998.The average recovery was 100.32%,and RSD value was 2.79%.Conclusion The quality control method built in this paper is specific,stable,simple and easy to be operated,and can quickly and accurately conduct qualitative and quantitative analysis to distinguish the quality of the decoction pieces of Aurantii Fructus.It can be widely used in the quality evaluation of the decoction pieces of Aurantii Fructus.
作者
刘静
吴怡青
张雪
赵苑伶
刘妍
陈扬
李芝奇
赵崇军
马志强
LIU Jing;WU Yiqing;ZHANG Xue;ZHAO Yuanling;LIU Yan;CHEN Yang;LI Zhiqi;ZHAO Chongjun;MA Zhiqiang(School of Chinese Materia Medica,Beijing University of Chinese Medicine,Beijing 100102,China;Beijing Key Laboratory of Quality Evaluation of Chinese Medicines,Beijing 100102,China)
出处
《西北药学杂志》
CAS
2021年第6期876-881,共6页
Northwest Pharmaceutical Journal
基金
北京市科技创新基地培育与发展工程子专项项目(编号:Z161100005016050)。
关键词
枳实饮片
质量评价
薄层色谱
高效液相色谱
方法优化
the decoction pieces of Aurantii Fructus
quality evaluation
TLC
HPLC
optimization of method