Department of Petroleum Engineering, Indian School of Mines, Dhanbad 826 004, India.
Department of Petroleum Engineering, Indian School of Mines, Dhanbad 826 004, India.
Bioresour Technol. 2015 Oct;194:117-29. doi: 10.1016/j.biortech.2015.06.082. Epub 2015 Jun 24.
A culture medium based on NPK-10:26:26 fertilizer was formulated for enhanced biomass and lipid production of Dunaliella tertiolecta by selecting appropriate nutrients and environmental parameters. Five-level-five-factor central composite design assisted response surface methodology was adopted for optimal cultivation of D. tertiolecta and results were compared with simple genetic algorithm (GA). Significant improvement in biomass and lipid production was obtained using newly formulated fertilizer medium over f/2 medium. Following optimal parameters [i.e., NaHCO3, (mM), NPK-10:26:26 (g L(-1)), NaCl (M), light intensity (μmol m(-2) s(-1)) and temperature (°C)] were obtained for maximum biomass (1.98 g L(-1)) and lipid production (0.76 g L(-1)): (42.50, 0.33, 1.09, 125, 25.13) and (38.44, 0.40, 1.25, 125, 24.5), respectively using GA. A multi-objective optimization was solved using non-dominated sorting GA to find best operating variables to maximize biomass and lipid production simultaneously. Effects of operating parameters and their interactions on algae and lipid productivity were successfully revealed.
为了通过选择适当的营养物质和环境参数来提高杜氏盐藻的生物量和脂质产量,我们基于 NPK-10:26:26 肥料配制了一种培养基。采用五水平五因子中心组合设计辅助响应面法对 D. tertiolecta 进行了最佳培养,并与简单遗传算法(GA)进行了比较。与 f/2 培养基相比,新配方肥料培养基显著提高了生物量和脂质的产量。最佳参数为[即 NaHCO3(mM)、NPK-10:26:26(g L(-1))、NaCl(M)、光照强度(μmol m(-2) s(-1))和温度(°C)]为最大生物量(1.98 g L(-1))和脂质产量(0.76 g L(-1)):(42.50、0.33、1.09、125、25.13)和(38.44、0.40、1.25、125、24.5),分别使用 GA。使用非支配排序 GA 进行了多目标优化,以找到同时最大化生物量和脂质产量的最佳操作变量。成功揭示了操作参数及其相互作用对藻类和脂质生产力的影响。