中南药学

目的 建立抗菌消炎制剂UPLC指纹图谱定性、多指标成分定量与化学计量学的整合分析方法，评价抗菌消炎制剂的质量差异。方法 采用UPLC和中药指纹图谱相似度评价系统(2012版)建立36批抗菌消炎制剂指纹图谱，同时测定槲皮素等7个有效成分含量，结合化学模式识别对不同厂家及批次的抗菌消炎制剂进行评价。结果 36批抗菌消炎制剂指纹图谱共标定了16个共有峰，指认了其中9个成分，相似度为0.571～0.990；聚类分析(HCA)、主成分分析(PCA)和正交偏最小二乘-判别分析法(OPLS-DA)均将36批抗菌消炎制剂分为两类，PCA得到5个主成分的累计贡献率为86.4%，OPLS-DA筛选出了5号峰(未知)、10号峰(未知)、大黄酚、黄芩素、槲皮素、7号峰(未知)等6个影响抗菌消炎制剂质量的差异性成分；含量测定结果显示130批抗菌消炎制剂中7个有效成分含量存在较大差异，个别厂家总蒽醌低于限度值，表明不同厂家及批次样品采用的原料差异较大且有不按工艺投料的现象。结论 建立的抗菌消炎制剂UPLC指纹图谱和多指标成分定量方法稳定性好、灵敏度高，结合化学模式识别法可为抗菌消炎制剂质量评价体系的完善提供参考。

Objective To establish an integrated method by combining ultra performance liquid chromatography (UPLC) fingerprint qualitative analysis,multi-component quantification,and chemometrics for quality evaluation of anti-infection preparations.Methods UPLC and Similarity Evaluation System of Traditional Chinese Medicine Fingerprint (Version 2012) were used to establish the UPLC fingerprints of 36 batches of anti-infection preparations.At the same time,the contents of 7 effective components were determined.Chemical pattern recognition was used to evaluate the quality of anti-infection preparations from different manufacturers and batches.Results The UPLC fingerprints of 36 batches of anti-infection preparations were established.A total of 16 common peaks were calibrated and 9 identified.The similarity ranged 0.571～0.990.The samples were divided into two groups by hierarchical cluster analysis principal component analysis,and orthogonal partial least squares-discriminant analysis.Principal component analysis indicated that the cumulative variance contribution rate of 5 principal components reached 86.4%.Six quality differential compounds were presented in the fingerprints,by orthogonal partial least squares-discriminant analysis,including peak 5 (unknown),peak10 (unknown),chrysophanol,baicalein,quercetin,and peak 7 (unknown).The content determination showed that obvious differences in the 7 components among the 130 batches of anti-infection preparations.The total anthraquinone content in certain manufacturers was below the specified limit,indicating poor consistency in raw materials by different manufacturers and certain manufacturers failed to follow standard material dosing procedures.Conclusion The established UPLC fingerprint and multi-component quantification with chemical pattern recognition are stable and sensitive,which can provide a reference for the quality evaluation of anti-infection preparations.