Analysis of three-dimensional fluorescence spectra has proved to be a valua
ble tool in the characterisation of fluorescent dissolved organic matter (F
DOM). Application of multivariate methods is a development that further enh
ances the capabilities of fluorescence spectroscopy for qualitative as well
as quantitative analysis. In this work, principal component analysis (PCA)
and partial least squares regression (PLS) are applied on fully corrected
excitation-emission matrices (EEMs). The relation between sampling site and
fluorescence properties in a coastal environment is analysed with PCA and
PLS. The applicability of fluorescence spectroscopy and multivariate analys
is for the evaluation of properties of humic substances (HS) is discussed.
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