Fluorescence spectroscopy and multi-way techniques. PARAFAC

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...

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Bibliographic Details
Published inAnalytical methods Vol. 5; no. 23; p. 6557
Main Authors Murphy, Kathleen R., Stedmon, Colin A., Graeber, Daniel, Bro, Rasmus
Format Journal Article
LanguageEnglish
Published 01.01.2013
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Summary: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. © 2013 The Royal Society of Chemistry.
ISSN:1759-9660
1759-9679
1759-9679
DOI:10.1039/c3ay41160e