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1 National Institute of Aquatic Resources, Technical University of Denmark 2 Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark 3 Department of Systems Biology, Technical University of Denmark 4 University of New South Wales 5 Aarhus University
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.
Analytical Methods, 2013, Vol 5, Issue 23, p. 6557-6566
Chemical analysis; Fluorescence; Fluorescence spectroscopy; Fluorophores
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