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作 者:高燕[1] 赵渤年[1] 于宗渊[1] 李珂[2] 王变利[3] 殷洁[3]
机构地区:[1]山东省中医药研究院,国家中医药管理局中药分析学重点学科,济南250014 [2]山东省科学院自动化研究所,济南250014 [3]山东中医药大学药学院,济南250355
出 处:《中华中医药杂志》2013年第12期3508-3511,共4页China Journal of Traditional Chinese Medicine and Pharmacy
基 金:国家自然科学基金(No.81274080);山东省科技发展计划项目(No.2008GG2NS02007)~~
摘 要:目的:建立金银花抗流感病毒谱-效相关质量评价模式。方法:广泛收集代表性金银花样品,制备各样品的供试液,分别测定其HPLC色谱指纹图谱数据及EC50(半数有效浓度),并用数学方法将指纹图谱数据与抗流感病毒结果进行关联,建立数学模型。结果:经10批金银花样品的验证结果表明建立的数学模型EC50计算值与实测值偏差率全部在10%以内,其中70%的偏差率在5%以内。结论:运用所建立的数学模型基本能够实现通过指纹图谱数据对金银花药材抗流感病毒效果的评价。Objective: To establish a new Chromatogram-effect relationship mode for evaluating quality of Flos Lonicerae Japonicae Flos. Methods: Lonicerae Japonicae Flos samples were collected extensively and prepared as the test solution. The date of HPLC fingerprints and concentration for 50% of maximal effect (ECS0) were determined respectively, and then a feasible mathematical model was selected to correlate the HPLC fingerprints data and EC50 data. Results: The other 10 batches of Lonicerae Japonicae Flos were examined. The bias proportion of the ECs0 Calculated from the established mathematical model and determined from the experimental measurement were less than 10% in all, and the bias proportions of seven samples were less than 5%. Conclusion: The mathematic model could be used to evaluate the efficacy of Lonicerae Japonicae Flos on anti- influenza virus by determining its HPLC fingerprints.
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