Title of article :
Optimization of nitrogen and phosphorus removal from meat processing wastewaters using microalgal biofilms
Author/Authors :
Farazmand Abbas نويسنده Department of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), P.O. Box 14965-161, Teh , Ofoghi Hamideh نويسنده Department of Biotechnology, Iranian Research Organization for Science and Technology (IROST), P.O. Box 15815-3538, Tehran, I.R. Iran , Danaee Soroosh نويسنده Biotechnology Department, Iranian Research Organization for Science and Technology, Tehran, Iran , Heydarian Seyed Mohammad نويسنده Biotechnology Department, Iranian Research Organization for Science and Technology, Tehran, Iran
Pages :
6
From page :
79
To page :
84
Abstract :
Background: The conventional activated sludge processes are not able to completely treat the nitrogen and phosphorus compounds of meat processing wastewaters. Microalgal biofilm, which has the advantages of easiness and inexpensiveness, can be applied as a post-treatment method. Methods: The optimal levels of micronutrients and N/P ratio were aimed in the cultivation of Scenedesmus quadricauda as a biofilm formed on the two types of commercially available bed packing. For this purpose, the Factorial design was run to maximize the removal of ammonium, nitrate and phosphate concentration in the synthetic meat processing wastewater. Results: Experimental data showed better results for the removal of biofilm formed on the sponge filter. In addition, a maximum removal efficiency of 55.6%, 47% and 48.% was respectively achieved for ammonium, nitrate and phosphate at optimal N/P ratio of 10.5 and volumetric percentage of 50% of micronutrients. Conclusion: The results demonstrated that microalgal biofilm of Scenedesmus is able to remove the nutritional components of meat processing wastewaters. The process is needed to be optimized for theeffective treatment.
Journal title :
Astroparticle Physics
Serial Year :
2018
Record number :
2412234
Link To Document :
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