4.7 Article

The optimization of the ultrasound-assisted base-catalyzed sunflower oil methanolysis by a full factorial design

Journal

FUEL PROCESSING TECHNOLOGY
Volume 91, Issue 11, Pages 1551-1557

Publisher

ELSEVIER
DOI: 10.1016/j.fuproc.2010.06.001

Keywords

ANOVA; Biodiesel; Methanolysis; Ultrasound; Multiple regression modeling; Sunflower oil

Funding

  1. Ministry of Science of the Republic of Serbia [19062TR]

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The ultrasound-assisted sunflower oil methanolysis using KOH as a catalyst was studied at different reaction conditions. A full factorial experiment 3(3) with replication was performed. The effects of three reaction variables, methanol-to-oil molar ratio, catalyst loading and the reaction temperature on fatty acid methyl ester yield were evaluated by the analysis of variance and the multiple regression. At the 95% confidence level all three factors and the interaction of the reaction temperature and methanol-to-oil molar ratio were effective on fatty acid methyl ester formation, the most important factor being the catalyst loading. The relationship between the factors and their interactions was modeled by the second-order polynomial equation. (c) 2010 Elsevier B.V. All rights reserved.

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