Application of raman spectroscopy to monitor and quantify ethyl esters in soybean oil transesterification |
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Authors: | Grace F Ghesti Julio L de Macedo Valdeilson S Braga Antonio T C P de Souza Vicente C I Parente Esdras S Figuerêdo Inês S Resck José A Dias Sílvia C L Dias |
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Affiliation: | (1) Laboratório de Catálise, Instituto de Química, Universidade de Brasília, caixa postal 4478, 70904-970 Brasília, DF, Brazil |
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Abstract: | Biodiesel (FA esters) has become very attractive as an alternative diesel fuel owing to its environmental benefits. Transesterification
is the most usual and important method to make biodiesel from vegetable oils. This article investigates the potential for
using Raman spectroscopy to monitor and quantify the transesterification of soybean oil to yield ethyl esters. The differences
observed in the Raman spectra of soybean oil after transesterification were a peak at 2932 cm−1 (
), the displacement of the v
C=O band from 1748 to 1739 cm−1, and the bands at 861 (v
R-C=O and v
C-C) and 372 cm−1 (δ
CO-O-C). Uni- and multivariate analysis methods were used to build several analytical curves and then applied in known samples,
treated as unknowns, to test their ability to predict concentrations. The best results were achieved by Raman/PLS calibration
models (where PLS=partial least squares regression) using an internal normalization standard (v
=C-H band). The correlation coefficient (R
2) values so obtained were 0.9985 for calibration and 0.9977 for validation. Univariate regression analysis between biodiesel
concentration and the increasing intensity of
band or v
C=O displacement showed R
2 values of 0.9983 and 0.9742, respectively. Although spectroscopic methods are less sensitive than chromatographic ones, the
data obtained by spectroscopy can be correlated with other techniques, allowing biodiesel yield and quality to be quickly
assessed. |
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Keywords: | Biodiesel ethyl esters multivariate analysis partial least squares quantification Raman spectroscopy soybean oil transesterification |
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