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近红外漫反射光谱法测定头孢氨苄胶囊的含量
引用本文:李小燕,黎庆涛. 近红外漫反射光谱法测定头孢氨苄胶囊的含量[J]. 中国医院药学杂志, 2004, 24(3): 150-151
作者姓名:李小燕  黎庆涛
作者单位:1. 南宁市药品检验所,广西,南宁,530001
2. 广西大学生物技术与糖业工程学院,广西,南宁,530004
摘    要:目的:应用近红外漫反射技术和化学计量学的方法对头孢氨苄胶囊进行定量分析.方法:通过偏最小二乘法建立数学模型,对预测集进行预测,并对实际样品的含量进行分析测定.结果:25个样品经内部交叉验证建立预测模型,内部交叉验证的均方差为0.40,确定系数R2=1.00.用15个样品进行外部验证,外部验证的均方差为0.59,确定系数R2=0.999.预测值与真值的确定系数为0.9995.预测值的平均回收率为100.4%(RSD为0.50%,n=15).方法精密度RSD为0.85%(n=7).结论:建立的预测模型对头孢氨苄胶囊进行含量测定是可行和有效的,样品不需预处理,分析快速、简便、环保,结果准确.

关 键 词:近红外  漫反射光谱  头孢氨苄胶囊  定量分析
文章编号:1001-5213(2004)03-0150-02
修稿时间:2003-08-20

Determination of cefalexin in capsules using near infrared diffuse reflectance spectrophotometry
LI Xiao-Yan,LI Qing-Tao. Determination of cefalexin in capsules using near infrared diffuse reflectance spectrophotometry[J]. Chinese Journal of Hospital Pharmacy, 2004, 24(3): 150-151
Authors:LI Xiao-Yan  LI Qing-Tao
Abstract:OBJECTIVE Near infrared diffuse reflectance spectrophotometry (NIRDRS) and chemometrics were applied to the quantitative analysis of cefalexin in capsules. METHODS MPLS (modify partial least squares) regression models were set up using a calibration set (25 samples).The validation set was set up by 15 samples. Applying this model to predict the validation set and detects the samples.RESULTS The determination coefficients R 2 was 1.00 as indicated from the cross-validation, the true mean predictive error RMSECV (root mean square error of cross validation ) was 0.40 .The mean prediction error RMSEP (root mean square error of prediction) obtained from the validation was 0.59 , the determination coefficients R 2 = 0.999 .The correlation coefficient of the true value and prediction value was 0.999 .The average recovery of the prediction set was 100.4% (RSD= 0.50% , n =15). CONCLUSION NIRDRS permits quantitative non-destructive determinations of the active constituents in pharmaceutical preparations with little or even no sample treatment. NIRDRS method is faster and easier than other methods.
Keywords:near infrared  diffuse reflectance spectrophotometry  cefalexin capsules  quantitative analysis
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