摘要
采集还原型谷胱甘肽片(素片)的近红外漫反射光谱,以HPLC测定结果为参考值,运用偏最小二乘法(PLS)建立含量预测模型。所建模型的交叉验证均方根误差(RMSECV)为0.024 13,预测均方根误差(RMSEP)为0.008 57,预测集的相关系数(R)为0.972 54,证明近红外漫反射光谱法结合多元分析技术可快速测定还原型谷胱甘肽片的含量,并可望用于生产过程控制。
The partial least square(PLS) predictive model for the content of reduced glutathione tablets was established based on the near infrared diffuse reflectance spectra and the HPLC reference values.Root mean square error of cross-validation(RMSECV),root mean square error of prediction(RMSEP)and correlation coefficient(R) were 0.024 13,0.008 57 and 0.972 54,respectively.The established model might be used to predict the content of reduced glutathione tablets in the production process.
出处
《中国医药工业杂志》
CAS
CSCD
北大核心
2010年第11期845-848,共4页
Chinese Journal of Pharmaceuticals
关键词
近红外漫反射光谱法
偏最小二乘法
还原型谷胱甘肽片
测定
near infrared diffuse reflectance spectroscopy
partial least square(PLS)
reduced glutathione tablets
determination