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Fluorescence spectroscopy and multi-way techniques. PARAFAC

Kathleen R. MurphyUniversity of New South Wales, Water Research Centre, Sydney, AustraliaColin A. StedmonTechnical University of Denmark, National Institute for Aquatic Resources, Charlottenlund, DenmarkDaniel GraeberAarhus University, Department of Bioscience, Silkeborg, DenmarkRasmus BroUniversity of Copenhagen, Dept. Food Science, Frederiksberg, Denmark

2013en

ABI

Annotatsiya

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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Identifikatorlar

DOI: 10.1039/c3ay41160e

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