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Advanced Research in Microbial Metabolites & Technology
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Volume Volume 1 (2018)
Issue Issue 2
Issue Issue 1
Haji Abolhasani, M., Safavi, M., Goodarzi, M., Kassaee, S., Azin, M. (2018). Statistical optimization of medium with response surface methodology for biomass production of a local Iranian microalgae Picochlorum sp. RCC486. Advanced Research in Microbial Metabolites & Technology, 1(1), 39-49. doi: 10.22104/armmt.2018.3075.1017
Mohammad Haji Abolhasani; Maliheh Safavi; Mohammad Taghi Goodarzi; Seyed Mehrdad Kassaee; Mehrdad Azin. "Statistical optimization of medium with response surface methodology for biomass production of a local Iranian microalgae Picochlorum sp. RCC486". Advanced Research in Microbial Metabolites & Technology, 1, 1, 2018, 39-49. doi: 10.22104/armmt.2018.3075.1017
Haji Abolhasani, M., Safavi, M., Goodarzi, M., Kassaee, S., Azin, M. (2018). 'Statistical optimization of medium with response surface methodology for biomass production of a local Iranian microalgae Picochlorum sp. RCC486', Advanced Research in Microbial Metabolites & Technology, 1(1), pp. 39-49. doi: 10.22104/armmt.2018.3075.1017
Haji Abolhasani, M., Safavi, M., Goodarzi, M., Kassaee, S., Azin, M. Statistical optimization of medium with response surface methodology for biomass production of a local Iranian microalgae Picochlorum sp. RCC486. Advanced Research in Microbial Metabolites & Technology, 2018; 1(1): 39-49. doi: 10.22104/armmt.2018.3075.1017

Statistical optimization of medium with response surface methodology for biomass production of a local Iranian microalgae Picochlorum sp. RCC486

Article 5, Volume 1, Issue 1, Winter and Spring 2018, Page 39-49  XML PDF (962.25 K)
Document Type: Research Paper
DOI: 10.22104/armmt.2018.3075.1017
Authors
Mohammad Haji Abolhasani1; Maliheh Safavi email 2; Mohammad Taghi Goodarzi3; Seyed Mehrdad Kassaee1; Mehrdad Azin4
1Department of Biology, Hamedan Branch, Islamic Azad University, Hamedan, Iran.
2Biotechnology dept- Iranian Research Organization for Science and Technology
3Research Center for Molecular Medicine, Hamedan University of Medical Science, 65178 Hamedan Iran.
4Department of Biotechnology Iranian Reasearch Organization for Science and Technology, Tehran, P. O. Box 3353-5111, Iran.
Abstract
Abstract
Microalgae biomass production and optimization is necessary to overcome food security problems and address environmental topic as well as high-value compounds production. In this investigation the influence of three culture media (BBM, BG-11 and Guillard f/2) on the growth and biomass production of the Picochlorum sp. RCC486 microalgae was evaluated.
One- way ANOVA with Tukey’s HSD and Fisher’s LSD tests were used to test the effect of different culture media on optical density. Then the maximum optical density and biomass production by Picochlorum sp. RCC486 was evaluated using response surface methodology. A historical data of response surface methodology was used to find the optimum response, which yields the highest biomass production.
Microalgal growth in Guillard f/2 medium reached highest cell count in the considered time period and the microalgae presented highest biomass production in comparison with other two culture media (BBM and BG-11). Additionally, biomass productivity(58 mg L-1d-1 ), specific growth rate (0.681d-1), dry weight (1.516 g L-1) and cell density(52.9 ×106 cells mL-1) were highest in comparison with other two culture media. The predicted optical density and biomass production using historical data design were close to their experimental values corresponding to 1.50313 and 1.976gL-1 respectively. while the concentrations of nitrogen source and phosphorus source were achieved in concentrations of 1345.55 mg L−1, 6.983 mg L−1 respectively. Under the optimum condition, the biomass yield was1.961 gL-1 which is 0.76% less than the predicted value. Also the study reported that the biomass production of Picochlorum sp. RCC486 improved from 1.516 g L-1 in defined Guillard f/2 medium to 1.961 g L-1 in modified Guillard f/2 medium resulting 22.69% increase. Thus, Picochlorum sp. RCC486 biomass content could be enhanced by optimizing nitrogen and phosphorus concentrations.
Keywords
culture optimization; biomass production; Picochlorum sp. RCC486; one-way ANOVA; response surface methodology
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