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Journal article

Fluorescence spectroscopy and multi-way techniques. PARAFAC

From

University of New South Wales1

National Institute of Aquatic Resources, Technical University of Denmark2

Centre for Ocean Life, National Institute of Aquatic Resources, Technical University of Denmark3

Aarhus University4

Department of Systems Biology, Technical University of Denmark5

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.

Language: English
Year: 2013
Pages: 6557-6566
ISSN: 17599679 and 17599660
Types: Journal article
DOI: 10.1039/c3ay41160e
ORCIDs: Stedmon, Colin A. , 0000-0001-8331-9639 and 0000-0002-7641-4854

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