An analytical procedure was developed to
monitor the transesterification of soybean oil using spectrofluorimetry and Partial
Least Squares (PLS) regression. Excitation-Emission Matrix (EEM) fluorescence
spectroscopy derived from 12 standard mixtures of triolein and ethyl oleate
were used in the construction of a PLS model using the fluorescent spectra as
independent variables and the values of the methyl oleate % (w/w) as dependent
variables. The model presented a high correlation (0.99178) between values
determined by the reference method (ATR-FTIR) and values predicted by the
proposed method. The coefficient of determination (R2) for the curve was close to a value of 1 (0.9836),
which indicated the strength in the association between the observed data for
the two variables and the efficiency of the model to perform the analysis.
Therefore, the association between spectrofluorimetry and PLS was shown to be a
fast and accurate method for monitoring soybean oil transesterification.
Cite this paper
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