Ma Lijie, Yang Bin, Feng Xuefeng, Yin Xiaojie, Li Hua, Ge Xiaoguang, Zhu Lige, Cao Jun
Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Zhongguo Zhong Yao Za Zhi. 2010 Jul;35(13):1731-4.
To develop HPLC methods for the determination of prim-O-glucosylcimifugin and 5-O-methylvisammisoide in Saposhnicovia divaricata and of HPLC fingerprint to compare the wild and culture varieties.
Conditions of determination: Shimadzu C18 column (4.6 mm x 150 mm, 5 microm), methanol-water (40:60) as mobile phase with the flow rate of 1 mL x min(-1). The detection wavelength was 254 nm. Conditions of HPLC fingerprint: MG II C18 column (4.6 mm x 250 mm, 5 microm), the mobile phase was acetonitrile-water with the flow rate of 1 mL x min(-1), using linear gradient elution, the column temperature was 30 degrees C.
The average recovery of prim-O-glucosylcimifugin was 99.6% (RSD 0.72%, n=6). The average recovery of 5-O-methylvisammisoide was 102.6% (RSD 0.88%, n=6). The contents of prim-o-glucosylcimifugin in wild and culture varieties were (4.96 +/- 2.59) and (3.61 +/- 1.82) mg x g(-1) respectively. The contents of 5-O-methylvisammisoide were (3.91 +/- 2.09) and (4.37 +/- 2.02) mg x g(-1) respectively. The compositions of S. divaricata were effective separated under the conditions of HPLC fingerprint.
The HPLC determination method of prim-O-glucosylcimifugin and 5-O-methylvisammisoide is convenient and accurate. The HPLC fingerprint analysis method could be a basis for quality control and classification evaluate of S. divaricata.
建立高效液相色谱法测定防风中升麻素苷和5-O-甲基维斯阿米醇苷的含量，并建立高效液相色谱指纹图谱以比较野生和栽培品种。
测定条件：采用岛津C18柱（4.6 mm×150 mm，5μm），以甲醇-水（40:60）为流动相，流速为1 mL·min⁻¹。检测波长为254 nm。高效液相色谱指纹图谱条件：采用MG II C18柱（4.6 mm×250 mm，5μm），流动相为乙腈-水，流速为1 mL·min⁻¹，采用线性梯度洗脱，柱温为30℃。
升麻素苷的平均回收率为99.6%（RSD 0.72%，n = 6）。5-O-甲基维斯阿米醇苷的平均回收率为102.6%（RSD 0.88%，n = 6）。野生和栽培品种中升麻素苷的含量分别为（4.96±2.59）和（3.61±1.82）mg·g⁻¹。5-O-甲基维斯阿米醇苷的含量分别为（3.91±2.09）和（4.37±2.02）mg·g⁻¹。在高效液相色谱指纹图谱条件下，防风的成分得到有效分离。
升麻素苷和5-O-甲基维斯阿米醇苷的高效液相色谱测定方法简便、准确。高效液相色谱指纹图谱分析方法可为防风的质量控制和分类评价提供依据。
