目的: 对金银花提取物的化学成分进行数据分析,建立谱-效相关金银花提取物抑菌作用质量评价系统。方法: 通过考察流动相、波长、流速等条件,确定最佳液相色谱条件,建立50批金银花提取物的定量指纹图谱;通过微量稀释法得出金银花提取物的最佳抑菌浓度,并对50批样品进行抑菌测定,得出抑菌率;采用相似度分析、聚类分析、主成分分析、灰色关联度分析及通过支持向量机法建立数学模型等方法对50批定量指纹图谱及抑菌率结果进行分析。结果: 建立的50批金银花提取物定量指纹图谱中选择了18个共有峰,相似度在0.608-1,确立了6个化学成分(峰4:新绿原酸、峰8:绿原酸、峰9:隐绿原酸、峰16:异绿原酸B、峰17:异绿原酸A、峰18:异绿原酸C),50批金银花药材的的抑菌率平均值在3.93%~70.50%。主成分分析与聚类分析的结果吻合度很高,灰色关联度分析结果所有成分均与抑菌作用呈正相关。数学模型的拟合数据与实验数据的相对偏差均在2%以下。结论: 建立的金银花提取物液相色谱条件稳定可靠,建立的金银花提取物抑菌作用质量评价系统能够达到从抑菌率评价药物质量的目的。
Objective: To establish a chromatogram-effect correlated quality evaluation system for the antibacterial activity of Flos Lonicerae extract by data analysis of components.Methods: The best liquid chromatographic conditions were optimized by investigating the conditions of mobile phase, wavelength and flow rate, and the quantitative fingerprint of 50 batches of Flos Lonicerae extract was established.The best antibacterial concentration of the extract was obtained by microdilution method, and the antibacterial rates of 50 batches of samples were determined. Similarity analysis, cluster analysis, principal component analysis, grey correlation analysis and mathematical model establishment by support vector machine were used to analyze the quantitative fingerprints and antibacterial rates of 50 batches of samples. Results: Eighteen common peaks were selected from the 50 quantitative fingerprints of Flos Lonicerae extract, and the similarities were between 0.608-1. Six chemical components were identified (peak 4: neochlorogenic acid, peak 8: chlorogenic acid, peak 9: cryptochlorogenic acid, peak 16: isochlorogenic acid B, peak 17: isochlorogenic acid A and peak 18: isochlorogenic acid C). The average antibacterial rates of 50 batches of extracts were between 3.93%-70.50%. The results of principal component analysis and cluster analysis were highly consistent, and the results of grey correlation analysis showed that all components were positively correlated with antibacterial effect. The relative deviations between the predicted data of the mathematical model and the experimental data were all below 2%. Conclusion: The HPLC conditions of Flos Lonicerae extract are stable and reliable, and the quality evaluation system of antibacterial activity of Flos Lonicerae extract established can evaluate its quality based on antibacterial rate.
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