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Optimization of the Electrocoagulation Process for Sulfate Removal Using Response Surface Methodology



Hossini H1 ; Makhdoumi P2 ; Rastegar SO3 ; Mohammadimoghadam F4 ; Ghaffari HR5 ; Javid A6 ; Mirzaei N7, 8
Authors
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Authors Affiliations
  1. 1. Department of Environmental Health Engineering, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
  2. 2. Department of Pharmacodynamics and Toxicology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
  3. 3. Chemical Engineering Department, Tarbiat Modares University, Tehran, Iran
  4. 4. Department of Environmental Health Engineering, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran
  5. 5. Social Determinants in Health Promotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
  6. 6. School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran
  7. 7. Environmental Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran
  8. 8. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

Source: Bulgarian Chemical Communications Published:2015

Abstract

Sulfate concentrations affected on the natural sulfur cycle in the anaerobic treatment, therefore pretreatment of wastewater containing sulfate must be considered. In this work electrocoagulation techniques have considered as an effective and environmentally friendly process for desulfurization from wastewater. Three factors including initial pH, initial sulfate concentration and current density were selected as the effective factors and were optimized using response surface methodology. An initial pH of 8, initial sulfate concentration of80mg/l and current density of12mA/cm2 were determined to be optimum values by the statistical models. The maximum sulfate removal and minimum sludge generation under optimal conditions were 68.5% and 0.075g, respectively. The kinetics of sulfate removal study investigated the pseudo-first models were better described experimental data and was selected as overall kinetic removal of sulfate. © 2015 Bulgarian Academy of Sciences, Union of Chemists in Bulgaria.