Li Yuting, Wu Xiaoli, Ma Yuzhi, Xu Lijia, Yang Chengmin, Peng Dongqin, Guo Xinwei, Wei Jianhe
Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education and National Engineering Laboratory for Breeding of Endangered Medicinal Materials, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, Gansu, China.
Front Chem. 2024 Jan 19;11:1309965. doi: 10.3389/fchem.2023.1309965. eCollection 2023.
Saikosaponins are regarded as one of the most likely antipyretic constituents of Bupleuri Radix, establishing a comprehensive method that can reflect both the proportion of all constituents and the content of each saikosaponin is critical for its quality evaluation. In this study, the combination method of quantitative analysis of multiple components with a single marker (QAMS) and fingerprint was firstly established for simultaneous determination of 7 kinds of saikosaponins in Bupleuri Radix by ultra-high performance liquid chromatography (UPLC). The results showed that saikosaponin d was identified as the optimum IR by evaluating the fluctuations and stability of the relative calibration factors (RCFs) under four different conditions. The new QAMS method has been confirmed to accurately quantify the 7 kinds of saikosaponins by comparing the obtained results with those obtained from external standard method and successfully classify the 20 batches of Bupleuri Radix from 8 provinces of China. The experimental time of fingerprint was significantly reduced to approximate 0.5 h through UPLC-PAD method, a total of 17 common peaks were identified. The QAMS-fingerprint method is feasible and reliable for the quality evaluation of Bupleuri Radix. This method could be considered to be spread in the production enterprises of Bupleuri Radix.
柴胡皂苷被认为是柴胡最有可能的解热成分之一,建立一种能够反映所有成分比例以及每种柴胡皂苷含量的综合方法对其质量评价至关重要。本研究首次建立了以单一标志物定量分析多成分(QAMS)与指纹图谱相结合的方法,采用超高效液相色谱(UPLC)同时测定柴胡中7种柴胡皂苷。结果表明,通过评估四种不同条件下相对校正因子(RCF)的波动和稳定性,确定柴胡皂苷d为最佳内参比对照。通过将所得结果与外标法所得结果进行比较,证实新的QAMS方法能够准确地对7种柴胡皂苷进行定量,并成功地对来自中国8个省份的20批柴胡进行了分类。采用UPLC-PAD法,指纹图谱的实验时间显著缩短至约0.5小时,共鉴定出17个共有峰。QAMS-指纹图谱法用于柴胡的质量评价可行且可靠。该方法可考虑在柴胡生产企业中推广应用。