摘要
多组分三维荧光重叠光谱是三维荧光光谱的数据解析中的难点之一。本文基于二维微分谱的计算原理,充分利用三维荧光光谱具有激发光谱和发射光谱的特点,获得了三维荧光光谱展开后的激发微分谱和发射微分谱.之后利用独立成分分析对激发光谱或发射光谱的多组分混合微分谱分别进行解析,得到了单一组分的激发微分谱和发射微分谱。其中三次样条插值有效的弥补了实测激发波长数据点少的缺点,而粗糙惩罚平滑技术的引入则很大程度上减少了发射光谱的噪声,为微分谱的计算提供了有利的条件。单一组分的标准谱与解析谱的相似性系数的计算表明,利用独立成分分析对微分谱进行解析更有利于多组分混合三维荧光光谱所含成分的识别。
The analysis of multi-component three-dimensional fluorescence overlapping spectra is always very difficult.In view of the advantage of differential spectra and based on the calculation principle of two-dimensional differential spectra,the three-dimensional fluorescence spectra with both excitation and emission spectra is fully utilized.Firstly,the excitation differential spectra and emission differential spectra are respectively computed after unfolding the three-dimensional fluorescence spectra.Then the excitation differential spectra and emission differential spectra of the single component are obtained by analyzing the multi-component differential spectra using independent component analysis.In this process,the use of cubic spline increases the data points of excitation spectra,and the roughness penalty smoothing reduces the noise of emission spectra which is beneficial for the computation of differential spectra.The similarity indices between the standard spectra and recovered spectra show that independent component analysis based on differential spectra is more suitable for the component recognition of three-dimensional fluorescence overlapping spectra.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2013年第1期111-115,共5页
Spectroscopy and Spectral Analysis
基金
安徽省杰出青年科学基金项目(1108085J19)
安徽省自然科学基金项目(11040606M26)
国家"863"计划项目(2007AA061502)
中国科学院所长基金项目(Y03AG31144)
安徽高校自然科学基金项目(KJ2011B134)资助
关键词
三维荧光光谱
微分谱
独立成分分析
Three-dimensional fluorescence spectra
Differential spectra
Independent component analysis
