Methanolysis optimization of sesame (Sesamum indicum) oil to biodiesel and fuel quality characterization

Abstract

Statistical approach was employed to optimize biodiesel production from sesame oil in this work. Precisely, response surface methodology was applied, and the effects of four variables, viz. reaction temperature, catalyst amount, reaction time, and methanol/oil molar ratio, and their reciprocal interactions were determined. Central composite rotatable design was used to generate a total of 30 individual experiments, which were designed to study the effects of these variables during alkali-catalyzed methanolysis of sesame oil. A statistical model predicted the highest conversion yield of sesame biodiesel to be 99.71% at the following optimized variable conditions: reaction temperature of 63°C, catalyst amount of 1.04 wt.%, and methanol/oil molar ratio of 6.24, with a reaction time of 51.09 min. Using these variables under experimental condition in four independent replicates, an actual biodiesel yield of 98.36% was accomplished. The fuel properties of biodiesel produced were found to be within the ASTM D6751 and DIN EN 14214 biodiesel specifications.

Brette Pearl Spar Mable (BPSM): a potential recoverable catalyst as a renewable source of biodiesel from Thevetia peruviana seed oil for the benefit of sustainable development in West Africa

“…All other terms displayed are not significant. The low values of standard error observed in the intercept and all the model terms demonstrated that the regression model fit the data, and the prediction was good [37]. The variance inflation factor (VIF) obtained in this study illustrates that the centre points are orthogonal to all other factors in the model.…”

“…The R 2 value is always between 0 and 1 [37,65]. However, for creating a good-fit model, it was recommended that R 2 should not be less than 80% [66].…”

“…Dhoot et al produced biodiesel using a homogeneous alkali catalyst, whereas Ana et al [36] have used a heterogeneous mixture of Hexane/Ether as a catalyst for producing biodiesel and Betiku et al [37] a homogeneous catalyst for producing biodiesel from Sesamum indicum oil. A methanolysis of soybean oil with 1% potassium hydroxide as a catalyst has been carried out by Tomasevic et al, whereas Umer et al have worked on the application of a response surface methodology for the optimization of the transesterification of Moringa oleifera oil applying a homogeneous catalyst, and Zhang et al [38] have worked on the optimization of the transesterification reaction from cotton seed oil by means of a statistical approach using a homogeneous base catalyst.…”

Extraction Optimization and Antioxidant Properties of African Eggplant (Solanum macrocarpon) Leaf Polyphenols

“…Threedimensional (3D) response surface plots are representations, which graphically denote the regression equations for the optimization of reaction variables [19]. These surface plots in the present study are shown in Figures 2, 3, and 4.…”

“…The larger the values, the stronger the significance of a factor on the process condition [18,19]. Based on the high value and low probability value, the decreasing order of significance of the selected factors is as follows: temperature > leaf powder : water ratio > time ; temperature > time > vegetable powder : water ratio ; temperature > leaf powder : water ratio > time , respectively, on the yield, TPC, and TAA of the polyphenol concentrates (Table 3).…”