荧光
荧光光谱法
生物系统
光谱学
化学
计算机科学
工具箱
鉴定(生物学)
分析化学(期刊)
环境化学
光学
物理
生态学
量子力学
生物
程序设计语言
作者
Kathleen R. Murphy,Colin A. Stedmon,Daniel Graeber,Rasmus Bro
出处
期刊:Analytical Methods
[The Royal Society of Chemistry]
日期:2013-01-01
卷期号:5 (23): 6557-6557
被引量:1553
摘要
PARAllel FACtor analysis (PARAFAC) is increasingly used to decompose fluorescence excitation emission matrices (EEMs) into their underlying chemical components. In the ideal case where fluorescence conforms to Beers Law, this process can lead to the mathematical identification and quantification of independently varying fluorophores. However, many practical and analytical hurdles stand between EEM datasets and their chemical interpretation. This article provides a tutorial in the practical application of PARAFAC to fluorescence datasets, demonstrated using a dissolved organic matter (DOM) fluorescence dataset. A new toolbox for MATLAB is presented to support improved visualisation and sensitivity analyses of PARAFAC models in fluorescence spectroscopy.
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