目的 建立大蓟的UPLC指纹图谱结合化学计量学评价不同产地大蓟的质量。方法 采用UPLC法建立15批大蓟药材的指纹图谱，以共有峰峰面积为依据，采用熵权法计算权重，灰色关联度法计算相对关联度，优劣解距离法计算相对贴近程度，得到大蓟药材产地排名和各色谱峰权重。结果 共确定7个共有峰，指认了6个成分，分别为新绿原酸、绿原酸、隐绿原酸、蒙花苷、柳穿鱼叶苷和柳穿鱼黄素。产自安徽、浙江的大蓟药材排名普遍靠前，浙江丽水产的大蓟样品质量排名较优，而江苏产大蓟药材排名普遍较后，且安徽、江苏省内药材排名波动大。结论 本法可对不同产地的大蓟药材进行区分，为大蓟质量评价提供参考。

Objective To evaluate the quality of Cirsii Japonici Herba from different regions by UPLC fingerprint combined with chemometrics. Methods To establish fingerprint spectra of 15 batches of Cirsii Japonici Herba. Based on the common peak area, the entropy weight method was used to calculate the weight, Grey relational analysis was used to calculate the relative correlation degree, and TOPSIS method was used to calculate the relative closeness degree. The ranking of the regions of Cirsii Japonici Herba and the weight of each chromatographic peak was obtained. Results Seven common peaks were identified, and six components were identified, namely neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, linarin, pectolinarin, and pectolinarigenin. Cirsii Japonici Herba produced in Anhui and Zhejiang Province generally rank high, while those produced in Lishui City in Zhejiang Province have better quality rankings. Cirsii Japonici Herba produced in Jiangsu Province generally rank lower, and there was significant fluctuation in the ranking of medicinal herbs in Anhui and Jiangsu Provinces. Conclusion This method can distinguish the medicinal materials of Cirsii Japonici Herba from different origins, providing reference for the quality evaluation of Cirsii Japonici Herba.

R286.02

国家工信部产业技术基础公共服务平台项目(2022-230-221);佛山市南海区重点领域科技攻关专项(南科[2023]20号-18)