Statistical optimisation of methanolysis of jatropha oil using immobilisedR. oryzaecells in n‐hexane system

Enhancement in Jatropha-based biodiesel yield by process optimisation using design of experiment approach

“…RSM has been successfully applied to understand the interaction among variables and their effect on biodiesel production by J. curcas. The result obtained indicates that the mutual interactions of various variables have significant effects when compared with other referred studies (Chen, Du, and Liu 2008;Giovanilton 2010;Ganesan, Thangavelu, and Rajendran 2011;Lee et al 2011) in case of biodiesel yield enhancement. In this study a polynomial model is developed with F-value of 2.95 and R 2 value of 84%, which indicate that the model is very well fitted with the experimental data and may be used for understanding the interaction of various process variables.…”

“…On the basis of various reference studies (Shieh, Liao, and Lee 2003;Chen, Du, and Liu 2008;Domingos et al 2008;Fatimah et al 2008;Yuan et al 2008;Sahoo and Das 2009;Boulifi et al 2010;Ferella et al 2010;Giovanilton et al 2010;Duan et al 2011;Gandhi, Chelladurai, and Kumaran 2011;Ganesan, Thangavelu, and Rajendran 2011;Lee et al 2011) the trans-esterification process is effected by the molar ratio of alcohol to oil, type of alcohol, type and amount of catalysts, reaction time, temperature, water content and purity of reactants. All these researchers consider the variables except magnetic stirrer rpm variation.…”

“…Among all optimisation methods, RSM is the useful tool to predict the optimal reaction conditions in the trans-esterification process. Several edible and non-edible oils have been optimised by using RSM (Chen, Du, and Liu 2008;Giovanilton et al 2010;Duan et al 2011;Ganesan, Thangavelu, and Rajendran 2011). However, it appears that very less research has been carried out for optimum reaction conditions of Jatropha curcas oil under five independent variables.…”

“…Different optimisation techniques have been carried out for biodiesel production by various researchers (Ganesan, Thangavelu, and Rajendran 2011;Lee et al 2011) such as response surface methodology (RSM) using central composite rotatable design (CCRD), Taguchi, genetic algorithm, artificial neural network, Plackett Burman analysis. Among all optimisation methods, RSM is the useful tool to predict the optimal reaction conditions in the trans-esterification process.…”