Elemental, Thermal and Physicochemical Investigation of Novel Biodiesel from Wodyetia Bifurcata and Its Properties Optimization using Artificial Neural Network (ANN)

In this study, an unexplored oil from the wodyetia bifurcata fruit was used for biodiesel production. The transesterification process implemented to convert raw into methyl ester (WBME) and influence of variables on WBME yield examined with response surface method (RSM) assisted Box-Behnken optimization. results RSM show that a maximum 94.67% achieved reaction time identified as influencing variable. fatty acid composition (FAC) chromatography reveals presence highly unsaturated in significant fuel properties thermal molecular meet required standards (ASTM). obtained are compared other popularly biodiesels observed low kinematic viscosity (3.87mm2/sec) moderated cetane number (53) WBME. Furthermore, artificial neural network (ANN) tools prediction improvement 0.4% than mean square error high coefficient correlation ANN.