LAUSR

The purpose of this article is to provide a study of the hydroxylation reaction optimization of epoxidized soybean oil using a mathematical model based on surface response methodology. The variables were selected based on previous studies of the reaction. The three most influential factors are the time, the methanol ratio, and the catalyst ratio. Potentiometric characterization of the hydroxyl index allowed the influence of these factors and their interactions to be measured. It was possible to quantify these influences using multivariate regression. The results show that the three selected factors influenced the reaction yield positively; however, there were some interactions, such as an interaction between time and methanol and the interaction between time and catalyst, which had a negligible influence. The coefficients of the formulas used to construct the mathematical model were obtained from the influence values. The model was able to predict the optimum variable levels for an acceptable reaction yield efficiently and accurately. These levels were: time 244.4 min; methanol:oil ratio 1:4, and catalyst percentage 15.34%. The characterization of the hydroxylated oil product was carried out using Fourier‐transform infrared (FTIR) spectroscopy proton nuclear magnetic resonance (1H‐NMR) and carbon‐13 nuclear magnetic resonance (13C‐NMR) spectroscopy.