目的 基于HPLC指纹图谱与多成分含量测定，并结合主成分分析，评价半枝莲Scutellaria barbata的质量。方法 采用RP-HPLC法，流动相为乙腈-0.1%甲酸水溶液进行梯度洗脱，对19批人工栽培和市售半枝莲药材进行指纹图谱及4种黄酮类成分含量测定研究，应用主成分分析法对半枝莲质量进行评价。结果 建立了半枝莲药材的共有模式指纹图谱，共标定16个共有峰，半枝莲药材的相似度为0.817～0.989，野黄芩苷、野黄芩素、木犀草素、芹菜素的质量分数分别为0.015%～0.850%、0.010%～0.180%、0.000 34%～0.074 00%、0.001 9%～0.069 0%；主成分分析结果筛选出累计贡献率达到96.268%的4个主成分(野黄芩苷；野黄芩素；木犀草素；芹菜素)，以它们计算所有样本的综合得分，可对半枝莲药材质量进行排序。结论 通过指纹图谱与含量测定相结合，应用主成分分析可全面综合评价半枝莲质量。此方法的建立为半枝莲药材的质量控制及评价提供了了分析方法和数据支撑。

Objective To evaluate the quality of Scutellaria barbata by using principal component analysis (PCA) based on HPLC fingerprint and multi-component content determination. Methods The RP-HPLC using acetonitrile-0.1% formic acid aqueous solution as mobile phase and gradient elution method was developed to evaluate the quality of 19 batches of S. barbata. The combination of chromatographic fingerprints and quality determination of four flavonoids ingredients, as well as PCA, were further employed for the quality assessment. Results In the present study, an accurate and reliable fingerprint approach was developed using HPLC for quality control of S. barbata. A total of 16 common peaks were calibrated, and the similarity of all S. barbata samples was 0.817—0.989. The content ranges of scutellarin, scutellarein, luteolin and apigenin were 0.015%—0.850%, 0.010%—0.180%, 0.000 34%—0.074 00% and 0.001 9%—0.069 0%. PCA result showed that four principle components with accumulative contribution rate reaching 96.268% were screened out to calculate the comprehensive scores of each sample that was used to classify S. barbata as the quality difference. Conclusion By combination of fingerprint and content determination, PCA can be used to comprehensively evaluate the quality of S. barbata. The established method provided analytical method and data support for the quality control and evaluation of S. barbata.

R286.2

河北省科技厅“技术创新引导专项-科技工作会商”资助项目；河北省高校重点学科建设项目(冀教高[2013]4)；承德医学院自然科学研究计划青年基金项目(201824)