Abstract
Oil pollution seriously endangers the biological environment and human
health. Due to the diversity of oils and the complexity of oil composition, it is of
great significance to identify the oil contaminants. The 3-D fluorescence spectrum
combined with a second order correction algorithm was adopted to measure an oil
mixture with overlapped fluorescence spectra. The self-weighted alternating
trilinear decomposition (SWATLD) is a kind of second order correction, which has
developed rapidly in recent years. Micellar solutions of #0 diesel, #93 gasoline and
ordinary kerosene in different concentrations were made up. The 3-D fluorescence
spectra of the mixed oil solutions were measured by a FLS920 fluorescence
spectrometer. The SWATLD algorithm was applied to decompose the spectrum data. The
predict concentration and recovery rate obtained by the experiment show that the
SWATLD algorithm has advantages of insensitivity to component number and high
resolution for mixed oils.
© 2016 Optical Society of Korea
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