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作 者:逯家辉[1] 吴凌[1] 郭伟良[1] 田晓乐[1] 陈渝飞[1] 石健[1] 滕利荣[1]
出 处:《吉林大学学报(理学版)》2007年第3期481-485,共5页Journal of Jilin University:Science Edition
基 金:中国医学基金会新药发展基金(批准号:20061108).
摘 要:应用近红外漫反射光谱结合偏最小二乘法(NIR-PLS)对异福片中利福平和异烟肼的含量进行定量分析,所建立的定量分析模型对校正集样品中利福平和异烟肼的含量预测回归系数分别为0.99277,0.98901,交互验证均方根误差(RMSECV)分别为0.00665,0.00423.对预测集样品利福平、异烟肼的含量预测均方根误差(RMSEP)分别为0.00573,0.00379;加样平均回收率分别为99.376%和98.243%;重现性实验相对标准偏差(RSD)分别为0.6793%和0.6398%.结果表明,该方法预测精度高,且具有方便快捷、非破坏、无污染、可在线检测、重现性好等优点,可作为异福片原位质量检测和在线质量监控的方法予以推广.Near infrared diffuse reflectance spectroscopy combined with partial least square (NIRS-PLS) was applied to establishing calibration models for determining the contents of rifampicin and isoniazide in rifampicin and isoniazide tablets. The regression coefficient (R) by means of the model for determining the content of rifampicin is 0.992 77, the root mean square error of cross-calibration (RMSECV) is 0. 006 65, the R by means of the model for determining the content of isoniazide is 0.989 01, and the RMSECV is 0.004 23. Using these models for predicting the contents of rifampicin and isoniazide in validation set, the root mean square error of prediction (RMSEP) are 0.005 73 and 0.003 79. These results demonstrate that this method possesses high precision of prediction. The average recoveries are 99. 376% and 98. 243% in the recovery experiments, and the relative standard deviation (RSD) are 0.679 3% and 0.639 8% in reappearance experiments. With its advantages of facility, rapid, non-destruction, no pollution, on-line detection and good reappearance, this method must be popularized in situ measurement and in the on-line quality control for rifampicin and isoniazide tablets production.
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