目的 构建重楼（加格略）蒸制前后的HPLC指纹图谱，并借助化学计量学手段科学评价其蒸制前后的质量差异。方法 利用HPLC建立指纹图谱分析测定方法，采用相似度软件建立共有模式及确立共有峰，并运用SIMCA 14.1、SPSS 26等软件进行化学计量学分析，如系统聚类分析（hierarchical cluster analysis，HCA）、主成分分析（principal component analysis，PCA）和正交偏最小二乘-判别分析（partial least squares-discriminant analysis，OPLS-DA）。结果 相似度结果显示，重楼生品饮片和蒸制品饮片相似度相对较高，HCA和PCA结果显示，重楼生品饮片及其蒸制品饮片基本能各自聚类，但仍存在小部分交叉，而采用OPLS-DA模型能有效体现重楼蒸制前后的差异，并筛选出12（重楼皂苷I）、9（重楼皂苷II）、4（loureiroside）和5（未知）号色谱峰可能是重楼蒸制前后差异性潜在关键性成分。结论 构建的重楼蒸制前后饮片HPLC指纹图谱结合化学计量学的研究可以为完善重楼生、制饮片的质量控制和品质评价提供参考，为民族药炮制的临床用药研究奠定基础。

Objective To establish the HPLC fingerprint of Chonglou (Paridis Rhizoma) before and after steaming processing, and to evaluate the difference between processed products by chemometrics. Methods The chromatographic fingerprint analysis was carried out respectively by HPLC, and the common pattern was conducted by similarity evaluation. In addition, for quality evaluation, the results were taken to perform the chemometric analyses, such as hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least square-discriminant analysis (OPLS-DA), by using SIMCA 14.1, SPSS 26, and other software. Results The similarity evaluation results indicated that the crude Paridis Rhizoma and the steamed Paridis Rhizoma could have high similarity. The HCA and PCA results showed the processed products could be basically cluster separately, but there was still crossover. The applied OPLS-DA results showed the processed products could be ideally classified by five characteristic peaks (12-chonglou saponin I, 9-chonglou saponin II, 4-loureiroside, 5-unknown). These chromatographic peaks can be used as potential key quality markers for the difference before and after steaming. Conclusion The establishment of HPLC fingerprint combined with chemometrics could be considered as a comprehensive reference and powerful strategy for quality evaluation of Paridis Rhizoma and lay the foundation for the further clinical medicine research of ethnic medicine processing.

R283.6

2020年度贵州省中医药、民族医药科学技术研究专项课题（QZYY-2020-011）；2020年贵州省教育厅自然科学研究项目（黔教合KY字[2021]200）；2021年度贵州省基础研究项目（自然科学类）（黔科合基础-ZK[2022]一般496）；贵州中医药大学博士启动基金项目（2019[48]号）；国家自然科学基金面上项目（81773899）