高效液相法同时测定獐牙菜属植物中四种活性成分(英文)  被引量:3

Simultaneous Determination of Four Active Components in Swertia by RP-HPLC

在线阅读下载全文

作  者:田峦鸢[1] 陈家春[1] 黄风娇 方进波[1] 

机构地区:[1]华中科技大学同济医学院药学院,武汉430030 [2]武汉医药工业研究所,武汉430061

出  处:《中国天然药物》2008年第6期444-449,共6页

基  金:supported by the National Natural Science Foundation of China (No.30271590)~~

摘  要:目的:同时测定獐牙菜属植物中四种抗肝炎活性成分的含量。方法:用高效液相色谱法对獐牙菜苦苷、芒果苷、当药醇苷和雏菊叶龙胆酮四种抗肝炎活性成分进行了分析。结果:在选定的色谱条件下四种成分分离良好,在检测浓度范围内线性良好。日内和日间精密度分别小于2%和4.6%,加样回收率为97.94%~99.84%。建立了獐牙菜属植物中四种不同化学结构类型抗肝炎活性成分的含量测定方法。结论:本方法简单、准确,能成功的的运用于同时测定獐牙菜属植物不同部位中獐牙菜苦苷、芒果苷、当药醇苷和雏菊叶龙胆酮四种抗肝炎活性成分的含量以及獐牙菜属植物的鉴定。AIM: To simultaneously determine four anti-hepatitis components in Swertia. METHOD: A new HPLC method using ultraviolet absorbance detection with detected wavelength at 254 nm was presented for the simultaneous determination of four active components, namely swertiamarin, mangiferin, swertianolin and bellidifolin in 7 species of Swertia plants (Gentianaceae). The samples were separated and detected on the column of Alltima C18(250 mm× 4.6 ram, 5 μm) under the condition of gradient elution. RESULTS: The limit of detection (S/N = 3) was less than 0.86 μg · mL^-1 and the limit of quantification ( S/N = 10 )was less than 1.73 μg · mL^-1. All calibration curves showed good linear regression within test ranges. The RSD for intra- and inter-day of four investigated compounds were lower than 2% and 4.6%, respectively. The mean recovery was between 97.94% and 99.84%. The method was establishded for the simultaneous determination of the four anti-hepatitis constituents relating to different kinds of chemical structures in Swertia plants. CONCLUSION: The method was successfully applied to quantify the four active components in different parts of the herb and to identify the specific species of genus Swertia.

关 键 词:獐牙菜 HPLC-UV 獐牙菜苦苷 芒果苷 当药醇苷 雏菊叶龙胆酮 

分 类 号:R282.710.5[医药卫生—中药学] R282.71[医药卫生—中医学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象