目的 建立夏枯草药材HPLC指纹图谱，结合化学模式识别技术筛选出不同批次夏枯草质量差异性标志物，并以其为指标建立夏枯草含量测定方法，为科学全面地评价夏枯草药材质量提供参考。方法 采用HPLC法建立30批不同产地夏枯草的指纹图谱，利用中药色谱指纹图谱相似度评价系统2004A进行相似度评价，确定共有峰；运用主成分分析和正交偏最小二乘判别分析，筛选出不同批次夏枯草质量差异性标志物，基于筛选出的质量差异性标志物建立含量测定方法，并对61批夏枯草药材进行含量测定。结果 建立了夏枯草HPLC指纹图谱，共标定28个共有峰，其相似度均在0.970以上，表明30批夏枯草药材的整体质量相对稳定；采用主成分分析和正交偏最小二乘判别分析筛选出了不同批次夏枯草质量差异的5个标志物，分别为咖啡酸（5号峰）、金丝桃苷（9号峰）、异槲皮苷（10号峰）、异迷迭香酸苷（11号峰）和迷迭香酸（12号峰），以5个标志物为指标，对其进行含量测定，色谱峰分离度良好，且线性关系良好，平均加样回收率为95.0%~105.0%，RSD值均低于3%。结论 该方法科学、准确、可靠，指纹图谱结合化学模式识别技术和含量测定构建了一个更加完善、合理、有效的夏枯草质量评价方法。

Objective The quantitative method for the quality makers screened by a chemical pattern recognition method combined with the HPLC fingerprint was established, so as to provide reference for scientific and comprehensive quality evaluation of Prunella vulgaris. Methods Fingerprints of 30 batches of P. vulgaris were established by HPLC. Similarity evaluation was performed by using Similarity Evaluation System for Fingerprint Chromatogram of TCM (2004A) to confirm the common peak. Principal component analysis and orthogonal partial least squares discriminant analysis were used to screen out the components that caused the quality differences in the batches. Quantitative method of the screened quality makers was established, and its content in 61 batches of samples was determined. Results The HPLC fingerprints of P. vulgaris were obtained, and a total of 28 common peaks were marked. The similarity of 30 batches of samples was higher than 0.970, which indicated that the overall quality of P. vulgaris was relatively stable. Caffeic acid (F5), hyperoside (F9), isoquercitrin (F10), salviaflaside (F11), and rosmarinic acid (F12) were recognized as the quality makers using principal component analysis and orthogonal partial least squares discriminant analysis. Five markers, which showed good linear relationship, were used as indicators for content determination. The average recovery was 95.0%-105.0%, with the RSD value less than 3%. Conclusion The analysis method established was scientific, accurate, and reliable. A more perfect, reasonable, and effective method for quality evaluation of P. vulgaris was constructed using a fingerprint combined with chemical pattern recognition technique.

R286.2

北京市教委共建科研基地建设项目（2016022）