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近红外光谱结合偏最小二乘法测定复方阿司匹林/双嘧达莫成分含量
作者单位:;1.天方药业有限公司;2.郑州大学化学与分子工程学院;3.郑州大学公共卫生学院
摘    要:采用近红外漫反射光谱分析技术对复方阿司匹林/双嘧达莫药物的有效成分进行测定,结合偏最小二乘(PLS)法分别建立了复方药物有效成分双嘧达莫及阿司匹林的相关模型,结果显示,复方阿司匹林/双嘧达莫中双嘧达莫PLS模型的相关系数R为0.99921,交互验证均方根误差(RMSECV)是0.00170,预测集均方根误差(RMSEP)是0.00291;复方中阿司匹林PLS模型的R为0.99517,RMSECV为0.000810,RMSEP为0.000831。由此表明,所建立的模型预测性能良好,均在误差范围内,说明方法准确可靠,可以用于实际生产中的在线控制。

关 键 词:近红外漫反射光谱  偏最小二乘法  复方阿司匹林/双嘧达莫

Determination of the content of compound aspirin/dicyanidone by near-infrared spectroscopy combined with partial least square method
Affiliation:,Tianfang Pharmaceutical Co.,Ltd.,School of Chemistry and Molecular Engineering,Zhengzhou University,School of Public Health,Zhengzhou University
Abstract:the effective components of compound aspirin/dipyridamole were determined by near infrared diffuse reflection spectroscopy, and the related models of dipyridamole and aspirin were established by partial least square(PLS). The results showed that the correlation coefficient R of dipyridamole PLS model in compound aspirin/dipyridamole was 0.999 21, and the root mean square error( RMSECV)was 0.00170. The root mean square error( RMSEP) of the prediction set is 0.00291. The R of aspirin PLS model in compound was 0.999 17, RMSECV 0.000810, RMSEP 0.000831 RMSEP 0.000831. The result shows that the established model has good prediction performance and is accurate and reliable in the error range, and can be used for on-line control in actual production.
Keywords:near-infrared diffuse reflection spectrum  partial least square method  compound aspirin/dicyanidone
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