目的 建立不同来源茵陈Artemisiae Scopariae Herba药材的UPLC多成分含量测定和指纹图谱方法，对28个产地绵茵陈和22个产地花茵陈药材进行含量测定、指纹图谱分析和化学模式分析。方法 以Waters ACQUITY UPLC BEH C₁₈（100 mm×2.1 mm，1.7 µm）色谱柱为固定相，0.1%甲酸水（A）­乙腈（B）为流动相进行梯度洗脱，体积流量0.25 mL/min，检测波长310 nm，结合对照品比对进行色谱峰确认，对共50份不同来源茵陈药材进行14个化合物的含量测定，指纹图谱分析共有峰和进行相似度评价，采用聚类分析（hierarchical cluster analysis，HCA）和正交偏最小二乘法判别分析（orthogonal partial least squares discrimination analysis，OPLS-DA）筛选茵陈药材的特征成分。结果 建立了茵陈药材UPLC多成分含量测定和指纹图谱方法；结果表明，不同产地来源茵陈化学成分含量存在差异；指纹图谱法标定了绵茵陈、花茵陈各18、32个共有峰，化学模式分析表明化合物3,4-二咖啡酰奎宁酸、3,5-二咖啡酰奎宁酸和4,5-二咖啡酰奎宁酸可作为药材质量评价的标志性成分。结论 建立的UPLC多成分含量测定方法和指纹图谱法适用于不同来源茵陈的质量评价；不同产地的含量测定结果、指纹图谱和化学模式分析结果可为茵陈药材产地选择、质量控制提供有益参考。

Objective Establishing UPLC multi-component content determination and fingerprint analysis methods for Yinchen (Artemisiae Scopariae Herba) from different sources. Determination the content, fingerprint analysis and chemical pattern analysis of Artemisiae Scopariae Herba (Mian Yinchen) and Artemisiae Scopariae Herba (Hua Yinchen) were conducted from 28 origins and 22 origins, respectively. Methods Using Waters ACQUITY UPLC BEH C₁₈ (100 mm×2.1 mm, 1.7 µm) column as the stationary phase, 0.1% formic acid water (A)-acetonitrile (B) was used as the mobile phase for gradient elution, with a flow rate of 0.25 mL/min and a detection wavelength of 310 nm. The chromatographic peaks were confirmed by comparing with reference materials. A total of 50 different sources of Artemisiae Scopariae Herba were quantitatively determined for 14 compounds, and fingerprint analysis was performed to evaluate common peaks and similarity evaluation. Hierarchical cluster analysis and orthogonal partial least squares discrimination analysis (HCA and OPLS-DA) were used to screen the characteristic components of Artemisiae Scopariae Herba. Results Establishing a UPLC multi-component content determination and fingerprint method for Artemisiae Scopariae Herba; The quantitative analysis results indicated that there are differences in the chemical composition content of Artemisiae Scopariae Herba from different regions; The fingerprint method calibrated 18 and 32 common peaks for two harvesting periods, and chemical pattern analysis showed that 3,4-dicaffeoyl quinic acid, 3,5-dicaffeoyl quinic acid and 4,5-dicaffeoyl quinic acid can be used as landmark components for quality evaluation of medicinal materials. Conclusion The established UPLC multi-component content determination method and fingerprint method are suitable for quality evaluation of Artemisiae Scopariae Herba from different sources; The content determination results, fingerprint spectra, and chemical pattern analysis results from different origins can provide useful references for the selection of origin and quality control of Artemisiae Scopariae Herba.

R286.2

国家重点研发计划项目(2022YFC3501500);中国医学科学院医学与健康科技创新工程(2021-I2M-1-032);国家中医药管理局委托项目(GZY-KJS-2023-008);漳州市名老药工黄进明工作室专项资金项目