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Monitoring of Soybean Oil Transesterification by Spectrofluorimetry and Multivariate Calibration

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DOI: 10.4236/oalib.1100598    1,474 Downloads   1,730 Views  


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.

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The authors declare no conflicts of interest.

Cite this paper

de Oliveira Ribeiro, E. , Quintella, C. , Meira, M. , Luna, S. , Guimarães, A. and Silva, W. (2014) Monitoring of Soybean Oil Transesterification by Spectrofluorimetry and Multivariate Calibration. Open Access Library Journal, 1, 1-6. doi: 10.4236/oalib.1100598.


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