| 引用本文: | 杨林,周千千,李艳,侯媛芳,何丹.基于化学模式识别法的连花清瘟胶囊HPLC指纹图谱研究[J].中国现代应用药学,2024,41(12):30-37. |
| YangLin,ZhouQianqian,LiYan,Hou Yuanfang,He Dan.Study on HPLC fingerprint of Lianhua Qingwen Capsule based on chemical recognition pattern method[J].Chin J Mod Appl Pharm(中国现代应用药学),2024,41(12):30-37. |
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| 摘要: |
| 目的：采用高效液相色谱法建立连花清瘟胶囊的指纹图谱,并结合化学模式识别法对其质量进行分析评价。方法：采用Agilent C18色谱柱(4.6 mm×250 mm,5 μm),以0.1%磷酸水溶液(A)-乙腈(B)为流动相进行梯度洗脱,流速为1.0 mL.min-1,柱温为30℃,检测波长为207 nm。利用相似度评价、系统聚类分析(HCA)、雷达图分析、主成分分析(PCA)与正交偏最小二乘判别分析(OPLS-DA)对13批连花清瘟胶囊的指纹图谱进行分析评价。结果：建立的连花清瘟胶囊的HPLC 指纹图谱共标定了 40个共有峰,通过化学对照品指认了其中10个共有峰,13批连花清瘟胶囊指纹图谱的相似度均在0.947～1.000之间。通过HCA与OPLS-DA等分析,13批连花清瘟胶囊样品被分为三类,分类结果与生产日期呈现相关性,并筛选出导致质量差异的8个主要化学标记物。结论：所建立的高效液相色谱指纹图谱稳定性、重复性好,可为连花清瘟胶囊的质量评价提供参考。 |
| 关键词: 连花清瘟胶囊 高效液相色谱法 指纹图谱 化学模式识别法 |
| DOI：10.13748/j.cnki.issn1007-7693.20224305 |
| 分类号: |
| 基金项目:重庆市科学技术委员会面上项目;重庆市教委科技项目 |
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| Study on HPLC fingerprint of Lianhua Qingwen Capsule based on chemical recognition pattern method |
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YangLin1, ZhouQianqian2, LiYan1, Hou Yuanfang1, He Dan3
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1.Chongqing Medical and Pharmaceutical College;2.Shihezi university college of pharmacy;3.ChongQing Medical University
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| Abstract: |
| ABSTRACT Objective: To establish the fingerprint of Lianhua Qingwen Capsule (LHQW) with the high-performance liquid chromatography method, and to evaluate the quality of LHQW by combining with chemical pattern recognition method. Methods: The chromatographic separation was performed on Agilent C18 (4.6 mm×250 mm, 5 μm) with acetonitrile-0.1% phosphoric acid as the mobile phase for the gradient elution. The detection wavelength was set at 207 nm. The flow rate was set at 1.0 mL/min and the column temperature was 30℃. Similarity evaluation, Hierarchical clustering analysis (HCA), radar plot analysis, Principal component analysis (PCA), and Orthogonal partial least-squares discrimination analysis (OPLS-DA) were used for the further assessment of 13 batches of LHQW samples. Result: The fingerprint of Lianhua Qingwen Capsule was established with 40 common peaks, in which 10 common peaks were identified, and the similarities of 13 batches of LHQW samples were 0.9471~1.000. By applying chemical pattern recognition methods such as HCA, and OPLS-DA, 13 batches of samples were classified into three clusters, and the results of classification were correlated with the production date. And 8 major chemical markers causing quality differences were screened. Conclusion: With good reproducibility and stability, this method could provide the reference for the quality evaluation of LHQW． |
| Key words: Lianhua Qingwen Capsule high-performance liquid chromatography method fingerprint chemical recognition patterns method |
