荧光关联谱的数据处理改进方法  

Improved Data Processing Method of Fluorescence Correlation Spectroscopy

作　　者：王硕[1] 金雷[2] 陈瓞延[1] 

机构地区：[1]清华大学物理系,原子分子纳米科学教育部重点实验室,北京100084 [2]香港中文大学电子工程系,光电子学实验室,中国香港

出　　处：《光谱学与光谱分析》2008年第11期2601-2604,共4页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(10574081);“973”基础研究基金项目(2007CB5119004)资助

摘　　要：荧光关联谱方法凭借其独特的对溶质浓度及扩散系数的测量能力,在对复杂系统的分子物理化学性质测量方面,不断扩大和深化其应用领域。但是从经典上,传统的荧光关联谱数据处理方法容易在拟合自相关曲线的参数时引入一定的误差,而且图表上的直观信息不多。针对以上问题,在文章中作者尝试用带有微分的数据处理办法,来更直观地估测参数并判断荧光多组分问题。经典自相关曲线处理后的微分曲线,有特异的波谷位置、深度和半深宽度,由此可判断特征扩散时间和多荧光成分的组分数目。此改进方法为利用荧光涨落谱方法测量生物组织体内的复杂环境提供帮助。By the unique ability of measuring concentration and diffusion coefficient,fluorescence correlation spectroscopy（FCS） has kept enlarging and deepening its application fields which need measuring physicochemical properties in complex mixtures.However,the classical data processing method in FCS generally induces errors in the fitting parameters,and the intuitionistic information in the chart is little or confused.Aiming at the above problems,we tried a new data processing method with differential treatment to find out whether it has multi-fluorescent-components and estimate the parameters intuitionally in the chart.The differential curves of treated autocorrelation curves have various positions,depths and full widths at half depth of the trough,by which the characteristic diffusion time and the number of the fluorescent components are decided.This improved processing method provides help for the FCS measurement in complex environment of life.

关 键 词：荧光关联谱 数据处理 微分曲线 估测参数 多荧光组分 

分 类 号：O43[机械工程—光学工程] Q632[理学—光学]