Abstract
Microalgae have recently been attended for the production of the third-generation biofuels. In the present study, the growth and lipid production capability of 16 native isolated microalgae were investigated.
Then, to improve lipid accumulation of selected microalgae, BG11 culture medium with different levels of nitrogen and phosphorus was examined. A novel combination of two-growth phase cultivation strategy was designed with experimental design to increase biomass and lipid accumulation, simultaneously. In the first phase, the selected strain was cultured in various media with different levels of initial nitrogen concentrations designed by response surface methodology (RSM) for 4 days. Afterward, the nitrogen starvation phase was started and continued for 8 days. The levels of phosphorus and light/dark ratio were also optimized under nitrogen starvation phase. Based on results of screening, Chlorella vulgaris ISC23 was selected as the most efficient species with the highest lipid productivity. After optimization, the highest lipid productivity was achieved under nitrogen deficiency and sufficient phosphorus treatment. Maximum lipid production of 0.417 g/ L was obtained at the initial concentration of 1 g/ L NaNO3, 0.04 g/L K2HPO4, and a light–dark cycle of 16:8, followed by C. vulgaris cultivation in a nitrogen-deficient medium including 0.03 g/L K2HPO4. Under optimum conditions, the lipid content reached up to 59% of the dry weight, which was approximately two times higher than the baseline. The fatty acid profile of C. vulgaris ISC23 grown under combined strategy indicated higher level of saturated fatty acids as potential candidate to provide high quality biodiesel.
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Acknowledgement
Authors are grateful to Ms. Mohseni, the head of the Persian Type Culture Collection (PTCC), for identifying the isolated strains.
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Editorial Responsibility: Samareh Mirkia.
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Dani, N., Zare, D., Assadi, M.M. et al. Isolation, screening and medium optimization of native microalgae for lipid production using nutritional starvation strategy and statistical design. Int. J. Environ. Sci. Technol. 18, 2997–3012 (2021). https://doi.org/10.1007/s13762-020-03037-9
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DOI: https://doi.org/10.1007/s13762-020-03037-9