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机构地区:[1]华东医药(西安)博华制药有限公司,陕西西安710201 [2]西安石油大学化学化工学院,陕西西安710065
出 处:《广州化工》2014年第19期87-89,107,共4页GuangZhou Chemical Industry
基 金:陕西省自然科学基金项目(No.2010JQ2003);西北大学合成与天然功能分子化学教育部重点实验室开放基金项目(No.kf09014)
摘 要:采用NIR法和化学计量学方法构建了银杏叶片中的总黄酮醇苷和萜类内酯含量的定量分析模型。通过PLS建立数学模型,并对预测集样品进行预测。39份样品经交叉验证建立校正模型,RSMECV分别为0.104和0.063。R分别为0.978 8和0.961 9。用13份样品进行预测,R达0.919 9和0.931 8,RSMEP分别为0.107和0.105。该方法简便快速,结果准确,可应用于不同批次银杏叶片样品的进行快速检查或质量控制。Near infrared (NIR) spectroscopy and chemometrics were applied to the quantitative analysis of total flavonol glycosides and terpene lactone in ginkgo leaf tablets. PLS regression model was set up using a calibration set by 39 samples. The prediction set was set up by 13 samples. The prediction set was predicted by applying the method. The related coefficients R were 0. 978 8 and 0. 961 9 as indicated from the cross - validation, respectively. The root mean square error of cross validation was 0. 104 and 0. 063, respectively. The correlation coefficient of the true value and predicted value was 0.919 9 and 0. 931 8, arid the root mean square of prediction was 0. 107 and 0. 105. NIR spectroscopy method was simple, rapid and accurate. The method could be applied in rapid qualitative and quantitative of different batches of ginkgo leaf tablets.
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