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作 者:逯家辉[1] 郭伟良[1] 孟庆繁[1] 蒋朝军[1] 吴迪[1] 张彤[1] 滕利荣[1]
机构地区:[1]吉林大学生命科学,长春130012
出 处:《中国现代应用药学》2008年第1期54-56,共3页Chinese Journal of Modern Applied Pharmacy
基 金:吉林省科技发展基金(20020503-2)
摘 要:目的建立利福平胶囊中利福平含量的快速测定方法。方法采集样品的近红外漫反射光谱数据,采用偏最小二乘法(PLS)建立光谱数据和样品中的利福平含量的相关模型,应用所建模型对未知样品进行预测。结果所建模型的回归系数(R)达到0.95587;校正均方根误差(RMSEC)为0.00651;预测均方根误差(RMSEP)为0.00380。结论所建模型预测精度高,可作为利福平胶囊原位质量检测和在线质量监控的方法予以推广。OBJECTIVE Develop a method for content determination of rifampicin in rifampicin capsules. METHODS The near infrared (NIR) diffuse reflectance spectra of the samples was collected to establish a relative model between the spectra data and the rifampicin contents in rifampicin capsules by partial least squares regression, and then the samples were determined using the mod- el. RESULTS The regression coefficient (R) of the model is up to 0. 955 87. The root mean square error of calibration (RMSEC) is 0. 006 51. The root mean square error of prediction (RMSEP) is 0. 003 80. CONCLUSION This model possesses high precision of prediction, it must be popularized in the in situ measurement and the on-line quality control for rifampicin capsules production.
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