目的 研究藿香正气水的快速质量评价方法。方法 采用超高效液相色谱建立指纹图谱,并进行方法学考察。与对照品、药材和对照提取物比较,确定特征峰及其归属。测定13个厂家的28批产品,直观分析其指纹图谱的异同,进一步使用二维聚类分析和主成分分析进行模式识别。结果 18个特征峰主要与厚朴、陈皮、白芷、甘草浸膏、苍术、广藿香油相关,不同厂家的藿香正气水UPLC指纹图谱存在明显差异。聚类分析和主成分分析结果基本一致,样品按厂家各自聚为一类,和厚朴酚、厚朴酚、橙皮苷特征峰对指纹图谱影响最大。结论 化学计量学辅助的UPLC指纹图谱具有快速、简便、客观、可数字化的优点,为藿香正气水的质量评价提供了一种新的思路。
Abstract
OBJECTIVE To establish a rapid approach for quality evaluation of Huoxiang Zhengqi Tincture. METHODS Fingerprint was established by ultra performance liquid chromatography (UPLC) method and method evaluation was performed. By comparing with reference substances, reference drugs and reference extractives, the characteristic peaks and their ascriptions were investigated. Twenty-eight batches of samples from 13 manufactures were determined and their fingerprints were compared. Then two dimensional hierarchical cluster analysis (2D-HCA) and principal analysis (PCA)were applied in pattern recognition. RESULTS Eighteen characteristic peaks were mainly related to Magnoliae Officinalis Cortex, Citri Pericarpium Reticulatae, Angelicae Dahuricae Radix, Extractum Glycyrrhizae, Atractylodis Rhizoma and patchouli oil. The UPLC fingerprints of samples from different manufacturers differed a lot. The results of 2D-HCA and PCA were consistent, which indicated that the fingerprints of the samples from the same manufacturer could cluster to their own group and the characteristic peaks of honokiol, magnolol and hesperidin showed the greatest impact on the fingerprints. CONCLUSION UPLC fingerprinting with aid of chemometric analysis is rapid, simple, objective and easy to realize digitalization, thus providing a novel way for quality evaluation of Huoxiang Zhengqi Tincture.
关键词
藿香正气水 /
指纹图谱 /
超高效液相色谱法 /
化学计量学 /
模式识别 /
二维聚类分析 /
主成分分析
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Key words
Huoxiang Zhengqi Tincture /
fingerprint /
ultra performance liquid chromatography /
chemometrics /
pattern recognition /
two dimensional hierarchical cluster analysis /
principal analysis
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中图分类号：
R284
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参考文献
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基金
国家自然科学基金资助项目(81303194);国家中医药管理局“中药标准化建设”资助项目(ZYBZH-C-JS-32);中国食品药品检定研究院学科带头人培养基金资助项目(2017X1)
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