An advanced hybrid medium optimization strategy for the enhanced productivity of lutein in Chlorella minutissima

作者：Dineshkumar R; Dhanarajan Gunaseelan; Dash Sukanta Kumar; Sen Ramkrishna^*

来源：Algal Research-Biomass Biofuels and Bioproducts, 2015, 7: 24-32.

DOI：10.1016/j.algal.2014.11.010

• Microalgae
• Lutein
• Plackett-Burman design
• ANN modeling
• Particle swarm optimization

The biosynthesis of lutein in microalgae is critically influenced by the media components, which either increase the key enzyme concentrations or act as cofactors for the enzymes involved in lutein metabolic pathway. In this study, an advanced medium optimization strategy, involving Plackett-Burman design for screening the Bold's Basal Medium(BBM) components, followed by artificial neural network modeling and particle swarmo-ptimization (ANN-PSO), was implemented for improving the productivity of lutein in Chlorella minutissima. In this two-step hybrid optimization endeavor, Plackett-Burman analysis helped select NaNO3, KH2PO4, MnCl2 center dot 4H(2)O and CuSO4 center dot 5H(2)O as critical components that were subsequently optimized by ANN-PSO technique. On experimental validation, the optimized medium resulted in three-fold greater lutein productivity, as compared to BBM. Furthermore, the maximum lutein productivity of 3.45 +/- 0.07 mg L-1 d(-1) was obtained upon cultivation of Chlorella minutissima in a 2-L airlift photobioreactor using the optimized medium with appropriate process conditions. Thus, the hybrid optimization approach was instrumental in enhancing lutein productivity by about 187%, which was significantly higher than the relevant values reported in literature. To our knowledge, this is the first report on the application of an integrated optimization strategy for the enhanced lutein productivity in Chlorella minutissima as a model photo-autotrophic organism.

• 出版日期2015-1