近红外光谱—偏最小二乘方法同时测定复方磺胺甲唑片的两种有效成分  被引量:2

Simultaneous analyses of the two effective components in compound sulfamethoxazole tablets by near-infrared spectroscopy and partial least square method

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作  者:陈雨[1] 张经硕[1] 蒋雪[1] 赵大将[1] 谢洪平[1] 郭莉萍[2] 

机构地区:[1]苏州大学药学院,215123 [2]重庆科技学院化学与生物工程学院

出  处:《中国药物与临床》2005年第11期816-818,共3页Chinese Remedies & Clinics

基  金:化学生物传感与计量学国家重点实验室开放基金资助项目(2003-16);苏州大学优秀中青年学术带头人基金资助项目(R2317043)

摘  要:目的建立复方磺胺甲口恶唑片的两种有效成分磺胺甲口恶唑(SMZ)和甲氧苄啶(TMP)的快速同时测定方法。方法基于近红外漫反射光谱技术,利用偏最小二乘方法建立该复方中SMZ和TMP的定量分析多元校正模型。结果对于所建立的SMZ与TMP模型,相关系数分别为:100.00%与100.00%;校正集残差分别为:0.0163与0.008 36;预测均方差分别为:0.156与0.0815。结论本方法在样品不经任何预处理的情况下,实现了该制剂的两种有效成分SMZ和TMP的简单、快速、两组分同时准确测定。Objective Build a rapid and simultaneous analytical method for the two effective components, sulfamethoxazole (SMZ) and trimethoprim (TMP) contained in compound sulfamethoxazole tablets. Methods Based on near-infrared diffuse reflection spectroscopy, the multivariate calibration models for SMZ and TMP in the compound were built using partial least squares (PLS) method. Results For the models, the parameters were 100.00% and 100.00% of the correlation coefficients, 0.0163 and 0.008 36 of the root mean square errors of cross-validation (RMSECV) for the calibration sample sets, and 0.156 and 0.0815 of RMSECV for prediction sample sets, respectively for SMZ and TMP. Conclusion Without any pre-processing for the measured drug samples, the method could carry out simple, rapid, simultaneous and accurate analyses for SMZ and TMP in the compound tablet.

关 键 词:磺胺甲基异嚼唑 甲氧苄啶 谱学 近红外线 偏最小二乘方法 

分 类 号:R927[医药卫生—药学]

 

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