摘要
目的对北柴胡质量进行控制。方法分析采用VenusilXBPC_(18)色谱柱(250mm×4.6mm,5μm);流动相乙腈-水,梯度洗脱;体积流量1.0mL/min;柱温35℃;检测波长210nm。建立HPLC指纹图谱,测定柴胡皂苷A、柴胡皂苷B2、柴胡皂苷C、柴胡皂苷D、柴胡皂苷E、柴胡皂苷F、6″-O-乙酰基柴胡皂苷A的含量,进行主成分分析。结果12批药材指纹图谱中有13个共有峰,相似度0.970~0.995。7种成分在各自范围内线性关系良好(R^(2)≥0.9998),平均加样回收率90.75%~100.91%,RSD1.6%~4.0%。内蒙古、山西产药材中各成分含量接近。结论该方法精密、准确、稳定,可用于北柴胡质量评价。
AIM To control the quality of Bupleurum chinense DC.METHODS The analysis was performed on a 35℃thermostatic Venusil XBP C_(18) column(250 mm×4.6 mm,5μm),with the mobile phase comprising of acetonitrile⁃water flowing at 1.0 mL/min,and the detection wavelength was set at 210 nm.The HPLC fingerprints were established,after which the contents of saikosaponin A,saikosaponin B2,saikosaponin C,saikosaponin D,saikosaponin E,saikosaponin F and 6″⁃O⁃acetylsaikosaponin A were determined,and principal component analysis was made.RESULTS There were thirteen common peaks in the fingerprints for twelve batches of medicinal materials with the similarities of 0.970-0.995.Seven constituents showed good linear relationships within their own ranges(R^(2)≥0.9998),whose average recoveries were 90.75%-100.91%with the RSDs of 1.6%-4.0%.Various constituents demonstrated similar contents in medicinal materials originated in Inner Mongolia and Shanxi.CONCLUSION This precise,accurate and stable method can be used for the quality evaluation of B.chinense.
作者
于静波
韩越
艾启迪
孙洋
周梓洋
刘赛虎
张子浩
舒慧
王宇红
YU Jing-bo;HAN Yue;AI Qi-di;SUN Yang;ZHOU Zi-yang;LIU Sai-hu;ZHANG Zi-hao;SHU Hui;WANG Yu-hong(Science&Technology Innovation Center/National Key Laboratory Cultivation Base of Chinese Medicinal Powder&InnovativeMedicinal Jointly Established by Province and Ministry,Hunan University of Chinese Medicine,Changsha 410208,China;College of Pharmacy,Hunan University of Chinese Medicine,Changsha 410208,China)
出处
《中成药》
CAS
CSCD
北大核心
2024年第7期2129-2133,共5页
Chinese Traditional Patent Medicine
基金
国家自然科学基金项目(82204613)
中药粉体与创新药物省部共建国家重点实验室培育基地开放基金项目(科函[2020]8号)
湖南省自然科学基金项目(2020JJ5415,2021JJ40410)
湖南中医药大学一流学科开放基金项目(2020ZYX06,2021ZYX25)。
关键词
北柴胡
质量控制
HPLC指纹图谱
含量测定
主成分分析
Bupleurum chinense DC.
quality control
HPLC fingerprints
content determination
principal component analysis