近红外光谱法快速测定利咽解毒颗粒中黄芩苷含量  

Rapid Quantitative Analysis of the Baicalin in Liyan Jiedu Granules by Near Infrared Diffuse Reflectance Spectroscopy

作　　者：陈钟 李军山 彭新华 

机构地区：[1]神威药业有限公司,河北石家庄051430

出　　处：《亚太传统医药》2011年第9期25-28,共4页Asia-Pacific Traditional Medicine

基　　金：中药注射剂质量标准化高技术产业化示范工程

摘　　要：目的：利用近红外漫反射技术和化学计量学的方法对利咽解毒颗粒中黄芩苷含量进行快速定量分析。方法：用积分球漫反射测定样品的近红外漫反射光谱,定量模型的预处理方法为多元散射校正（MSC）和一阶微分处理,波长范围为5 508~5 465cm-1,7 220~7 143cm-1,7 251~7 220cm-1,回归方法为偏最小二乘法（PLS）。结果：定量模型的最佳主因子数为6,内部交叉验证均方差RMSECV为0.046 5,决定系数R2为0.989,外部验证预测均方差RMSEP为0.031,系统精密度RSD为1.2%,方法精密度RSD为2.0%。结论：建立预测模型对利咽解毒颗粒中黄芩苷含量进行测定是可行的,该法快速、简便,结果准确。Objective：Near infrared diffuse reflectance spectroscopy（NIRS） and chemometrics techniques were used for the rapid quantitative analysis of the baicalin in Liyan Jiedu Granules.Methods：Near infrared spectra of the samples were measured by the integrating sphere.The partial least squares（PLS） calibration model was built with the first derivative spectra in the ranges of 5 508~5 465,7 220~7 143,7 251~7 220cm-1,which were normalized by multiplicative scatter correction（MSC） first.Results：The optimal number of the latent variables for the model was 6.The coefficient of determination（R2） for the model is 0.989.The root mean square error of cross-validation（RMSECV） was 0.0465 and root mean square error of prediction（RMSEP） was 0.031.The relative standard deviation of the system and the method was 1.2% and 2.0%,separately.Conclusion：The NIRS model was proved to be a rapid and exact method for the quantitative determination of the baicalin in Liyan Jiedu Granules.

关 键 词：近红外 漫反射光谱 利咽解毒颗粒 黄芩苷 含量测定 

分 类 号：R927.2[医药卫生—药学]