文章基本信息

标题：Monitoring of Soybean Oil Transesterification by Spectrofluorimetry and Multivariate Calibration
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作者：Erika Maria de Oliveira Ribeiro ; Cristina Maria Quintella ; Marilena Meira 等
期刊名称：Open Access Library Journal
印刷版ISSN：2333-9705
电子版ISSN：2333-9721
出版年度：2014
卷号：1
期号：3
页码：1-6
DOI：10.4236/oalib.1100598
语种：English
出版社：Scientific Research Pub
摘要：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.
关键词：Soybean OilTransesterificationSpectrofluorimetryPLS