首页 | 本学科首页   官方微博 | 高级检索  
检索        

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
引用本文:陈雨,张经硕,蒋雪,赵大将,谢洪平,郭莉萍.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[J].中国药物与临床,2005,5(11):816-818.
作者姓名:陈雨  张经硕  蒋雪  赵大将  谢洪平  郭莉萍
作者单位: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
基金项目: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。

关 键 词:磺胺甲基异口恶唑  甲氧苄啶  谱学  近红外线  偏最小二乘方法
收稿时间:2005-08-03

Simultaneous analyses of the two effective components in compound sulfamethoxazole tablets by near-infrared spectroscopy and partial least square method
CHEN Yu,ZHANG Jing-shuo,JIANG Xue,ZHAO Da-jiang,XIE Hong-Ping,GUO Li-Ping.Simultaneous analyses of the two effective components in compound sulfamethoxazole tablets by near-infrared spectroscopy and partial least square method[J].Chinese Remedies & Clinics,2005,5(11):816-818.
Authors:CHEN Yu  ZHANG Jing-shuo  JIANG Xue  ZHAO Da-jiang  XIE Hong-Ping  GUO Li-Ping
Abstract: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.
Keywords:Sulfamethoxazole  Trimethoprim  Spectroscopy  near-infrared  Partial least square
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号