目的 建立灯盏花药材HPLC指纹图谱，为科学评价及有效控制其质量提供依据。方法 采用Zorbax SB-C₁₈柱（150 mm×4.6 mm，5 μm），以甲醇（A）-0.1%磷酸水溶液（B）为流动相进行梯度洗脱，体积流量为1 mL/min，检测波长335 nm，柱温30℃，对19批灯盏花药材和3批近缘种进行检测。通过相似度评价，结合聚类分析（HCA）和主成分分析（PCA），对不同产地的灯盏花药材及近缘种进行质量评价。结果 通过建立灯盏花药材HPLC指纹图谱的共有模式，确定了11个色谱峰作为指纹图谱的共有峰，并根据对照品指认了5个共有峰，19批灯盏花药材的相似度为0.873~0.978，3批近缘种中一年蓬和多舌飞蓬的相似度较高；HCA和PCA均可将19批灯盏花药材分为3类，且分类结果一致。PCA将19批灯盏花药材和近缘种中相似度结果较高的一年蓬和多舌飞蓬进行综合评价，综合得分结果显示其中澄江梁王山野生的灯盏花药材质量最优，多舌飞蓬质量尚可，多舌飞蓬有代替灯盏花药材的可能性。结论 灯盏花的HPLC指纹图谱的构建和化学模式识别可为药材质量控制提供全面的参考。

Objective To establish the HPLC fingerprint for effective quality control and scientific evaluation of Erigeron breviscapus. Methods Separation was performed on a Zorbax SB-C₁₈ column (150 mm×4.6 mm, 5 μm) and the mobile phase was methanol-0.1% phosphoric acid with gradient elution. The flow rate at 1 mL/min, the column temperature at 30 ^oC, and the detection wavelength at 335 nm. A total of 19 batches of E. breviscapus and its related species were analyzed. Similarity evaluation combined with hierarchical clustering analysis (HCA) and principal components analysis (PCA) were used to evaluate the quality of herbs from different batches. Results The HPLC fingerprint of E. breviscapus was established with 11 common peaks, and five peaks were identified. Similarities of the 19 batches of samples were 0.873-0.978. Two batches of samples from its related species were high similarity. These 19 batches of samples could be classified into three clusters. The PCA result was consistent with HCA. The comprehensive score of S5 was the highest and the quality was the best. There was possibility for using E. multiradiatus as herbs instead of E. breviscapus. Conclusion The establishment of HPLC fingerprint and the recognition of chemical pattern can provide a more comprehensive reference for the quality control of herbs.

R282.6

云南省重大科技专项（2017ZF002-1）；云南省科学技术厅-云南中医学院应用基础研究联合专项[2018FF001（-039）]；云南省傣医药与彝医药重点实验室（筹备）自由探索课题（2017DG-Z3）