Statistical optimization using Central Composite Design for biomass and lipid productivity of microalga: A step towards enhanced biodiesel production
2016
Bala, Kiran | Pathak, Kratika | Kumar, Ritunesh | Deshmukh, Devendra
Central Composite Design (CCD) was utilized to optimize the levels of nutrients (nitrate and phosphate) and temperature for high biomass and lipid productivity in Oocystis sp. IM-04 isolated from domestic wastewater. Effect of varying temperature, nitrate and phosphate levels and their interactions was studied for different response variables i.e. lipid productivity (R1), biomass productivity (R2) and lipid concentration (R3). The predicted second-order quadratic model for response variables was significant (p<0.01). Further R2 values i.e. 0.8878 (R1), 0.9944 (R2), indicated satisfactory fit of the model. On the basis of statistical analysis of results, sodium nitrate (750mg/l), Di potassium hydrogen phosphate (0mg/l) at 30°C temperature i.e. N750P0T30, was found to be the best combination for highest lipid productivity (7.0mg/l/d), biomass productivity (47.8mg/l/d) and lipid concentration (109.5mg/l).
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