摘要
采用偏最小二乘法建立复方氨酚烷胺片中对乙酰氨基酚含量与其近红外漫反射光谱间的相关模型,并采用所建立的模型对预测集样品中对乙酰氨基酚含量进行预测。结果表明,所建的相关模型回归系数(R_c)为0.98520,对模型进行交互验证所得的预测值与测定值间的相关系数(R_v)为0.98089,交互验证均方根误差(RMSECV)为0.00557,对预测集样品中的对乙酰氨基酚含量进行预测,预测均方根误差(RMSEP)为0.00416。
A calibration model has been developed by partial least squares with near infrared diffuse reflectance spectroscopy for determination of paracetamol in compound paracetamol and amantadine hydrochloride tablets. The established model was applied to predict the paracetamol contents in predictive set. In this model, the regression coefficient （Rc） for determination of paracetamol contents was 0.98520. The cross-validation method was applied to validate this model, the related coefficient （Rv） between the predictive values obtained by cross-validation method and actual values is 0.98089, the root mean square error of cross-valibration （RMSECV） was 0.00557. Using this model for predicted the paracetamol contents in predictive set and the root mean square error of prediction （RMSEP） was 0.00416.
出处
《中国医药工业杂志》
CAS
CSCD
北大核心
2008年第9期687-689,共3页
Chinese Journal of Pharmaceuticals
基金
中国医学基金会新药发展基金(20061108)
关键词
近红外漫反射光谱
偏最小二乘法
复方氨酚烷胺片
对乙酰氨基酚
测定
near infrared diffuse reflectance spectroscopy
partial least squares
compound paracetamol and amantadine hydrochloride tablet
paracetamol
determination
