Two response surface methodologies involving historical data designs have been
successfully developed with the aim of predicting optimum operating parameters for
bioelectricity generation from sugar wastewater. The regression models evaluated the
effect of waste water concentration, experimental process time and agitation speed on
bioelectric current generation from microbial fuel cell. In the first historical data design,
regression model was developed for the investigation of the effect of waste water
concentration and experimental process time on the response (bioelectric current).
Second historical data design was performed to determine the extent to which agitation
speed and process time influence the response. The polynomial regression models were
validated with statistical tool whose values of
for first and second model were0.95 and
0.98 respectively. The optimum combination of wastewater concentration and process
time for the maximum generation of bioelectric current from second model in numerical
optimization of response surface methodology are 246.7 and 6 minutes with 1.94 mA
electric current. Optimum conditions generated were process time of 40.14 minutes and
Original Research Article
agitation speed of 39.7 rpm which generated bioelectric current of 1.633 mA. The
optimum operating conditions developed could be used to enhance commercialization of
bioelectricity generation from sugar wastewater.