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Application of raman spectroscopy to monitor and quantify ethyl esters in soybean oil transesterification
Author(s) -
Ghesti Grace F.,
Macedo Julio L.,
Braga Valdeilson S.,
Souza Antonio T. C. P.,
Parente Vicente C. I.,
Figuerêdo Esdras S.,
Resck Inês S.,
Dias José A.,
Dias Sílvia C. L.
Publication year - 2006
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/s11746-006-1244-5
Subject(s) - biodiesel , transesterification , raman spectroscopy , analytical chemistry (journal) , calibration , partial least squares regression , chemistry , soybean oil , gasoline , chemometrics , diesel fuel , coefficient of determination , univariate , spectroscopy , chromatography , materials science , mathematics , multivariate statistics , organic chemistry , statistics , catalysis , physics , food science , quantum mechanics , optics
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.