目的 建立越鞠保和丸UPLC指纹图谱，采用多元数据统计方法分析评价不同企业产品质量。方法 采用UPLC法建立越鞠保和丸的指纹图谱，确定共有峰，进行相似度的评价，采用聚类分析、主成分分析、正交偏最小二乘法-判别分析综合分析越鞠保和丸质量。结果 越鞠保和丸的UPLC指纹图谱的相似度均大于0.90。共确定了16个共有峰，指认了其中7个色谱峰。越鞠保和丸样品分为3类，4个主成分累积方差贡献率为81%，筛选出5个共有峰VIP＞1的化合物，依次为峰9（西红花苷Ⅰ）、峰3（栀子苷）、峰13（藁本内酯）、峰16（苍术素）、峰4（阿魏酸），这些成分是影响越鞠保和丸质量差异的标志性成分。结论 UPLC指纹图谱结合多元数据统计可作为评价越鞠保和丸质量的方法。

Objective To establish the UPLC fingerprint and evaluate quality of Yueju Baohe Pills from different manufacturers using multivariate statistical methods. Methods Fingerprints of Yueju Baohe Pills were established using UPLC method, common peaks were identified, and similarities were evaluated. The quality of Yueju Baohe Pills was comprehensively analyzed using HCA, PCA, and OPLS-DA. Results The similarities of Yueju Baohe Pills UPLC fingerprints were above 0.90. A total of 16 common peaks were identified, of which 7 chromatographic peaks were identified. The samples of Yueju Baohe Pills were divided into three categories, and the cumulative variance contribution rate of the four principal components was 81%. Five compounds with a common peak VIP > 1 were screened, namely peak 9 (crocin I), peak 3 (geniposide), peak 13 (pyrolide), peak 16 (atractylodes), and peak 4 (ferulic acid), which were characteristic components affecting the quality differences of Yueju Baohe Pills. Conclusion UPLC fingerprints combined with multivariate statistical methods can be used as a method for evaluating the quality of Yueju Baohe Pills.

R286.02