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Proceedings of the International Academy of Ecology and Environmental Sciences, 2019, 9(4): 104-126
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Article

Evaluation of three algal strains isolated for bioremediation of environmental pollutants

Mehrdad Asadian1, Barat Ali Fakheri1, Ahmad Farhad Talebi2, Nafiseh Mahdinezhad1, Shahrokh Gharanjik3
1Department of Plant Breeding and Biotechnology, Faculty of Agriculture, University of Zabol, Zabol, Iran
2Department of Microbial Biotechnology, Faculty of Biotechnology, Semnan University, Semnan, 35131-19111, Iran
3Department of Plant Breeding, Faculty of Agriculture, Shahrood University of Technology, Shahrood, Iran

Received 24 June 2019;Accepted 28 July 2019;Published 1 December 2019
IAEES

Abstract
Response surface methodology was applied to optimize the removal of various pollutants by three newly isolated macroalgae strains from Miankaleh wetland. These strains were selected from 11 different isolates (including 8 micro and 3 macroalgal strains) based on their growth kinetic parameters. The effect of variables such as light intensity, CO2 concentration and concentration of wastewater on the biosorption of nitrate, nitrite, phosphate as well as the rate of CO2 sequestration were investigated using a Central Composite Design (CCD) method. Multiple regression analysis and analysis of variance (ANOVA) showed that all three species of algae were able to significantly remove the nutrient elements and sequester CO2. A maximum nitrate removal of 91%, nitrite removal of 92%, phosphate removal of 95% and CO2 sequestration of 30-60% was obtained using the biosorption kinetics under optimum conditions. Our results clearly confirm the ability of the studied strains in bioremediation of environmental pollutants. Moreover, the dynamics of phytoplankton populations in the Miankaleh wetland were surveyed using remote sensing information. The findings support the hypothesis that the high concentration of algal pigment in the wetland is correlated to the ability of the studied strains in bioremediation of environmental pollutants; a direct correlation exists between the prone algal biomass and the potential of carbon capture in the aquatic ecosystems.

Keywords biosorption;nutrient removal;response surface methodology;optimization;satellite imagery.



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