首页 | 本学科首页   官方微博 | 高级检索  
     

主成分回归荧光光谱法同时分析多组分混合体系
引用本文:职统兴,尚丽平,邓琥,李朕,陈亮. 主成分回归荧光光谱法同时分析多组分混合体系[J]. 应用化工, 2008, 37(10)
作者姓名:职统兴  尚丽平  邓琥  李朕  陈亮
作者单位:1. 西南科技大学,信息工程学院,四川,绵阳,621010
2. 西南科技大学,材料科学与工程学院,四川,绵阳,621010
基金项目:国家高技术研究发展计划(863计划),四川省青年基金
摘    要:采用主成分回归和荧光光谱结合技术,解析光谱重叠严重的多组分光谱数据,对混合体系中的蒽和芘进行同时测定;采用Mtalab7.0编程进行主成分回归分析,用光谱矩阵建立校正模型,并预测未知样品。实验结果表明,主成分回归荧光光谱法对各组分的平均回收率为99.825%~108.86%,可以不经分离进行多组分定量分析,结果满意。

关 键 词:化学计量学  荧光光谱  主成分回归  同时测定

Simultaneous determination of mixed systems using principal components regression by fluorescence spectroscopy
ZHI Tong-xing,SHANG Li-ping,DENG Hu,LI Zhen,CHEN Liang. Simultaneous determination of mixed systems using principal components regression by fluorescence spectroscopy[J]. Applied chemical industry, 2008, 37(10)
Authors:ZHI Tong-xing  SHANG Li-ping  DENG Hu  LI Zhen  CHEN Liang
Abstract:In this paper,principal components regression combining with fluorescence spectroscopy technology was used to analyze the multi-component spectra data arose by overlap of the spectrum,and detect anthracene and pyrene in the mixed system at the same time.Moreover,the computer program of principal components regression was based on Mtalab 7.0,model was built by spectra matrix and used to forecast the unknown samples.The experimental result indicates the average recovery of each component is in the range from 99.825% to 108.86%,multi-component can be quantitatively analyzed without any pre-separation and satisfactory results are obtained.
Keywords:chemometrics  fluorescence spectra  principal components regression  simultaneous determination
本文献已被 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