Experimental Design and Response Surface Modeling for Optimization of 2-Chlorophenol Removal from Water by Nanoscale Iron and Fe Powder
Received Date: Apr 21, 2014 / Accepted Date: May 28, 2014 / Published Date: Jun 02, 2014
The discharge of organic contaminants such as phenol and its derivatives emerging from the industries into water has become a critical concern. In present research, potential of nanoscale iron particle and iron powder has been tested for the removal of 2-chlorophenol from aqueous solutions. In this research, nano particles were procreated by reduction of ferric iron in presence of sodium borohydrid. The characterization of synthesized particles was carried out using SEM and XRD analysis. The effect of pH, initial concentration of chlorophenol, and contact time and sorbents dosage on 2-CP removal was investigated. A statistical experimental design based on “central composite design” was exerted for measure the effect of these variables. The results of the CCD predicted that the maximum adsorption of 2-CP (100%) by nZVI could be achieved at pH, initial concentration, time, and dosage of sorbent as 4, 5.0 mg/L, 70 min, and 1.33 g, respectively. Also, for 86.74% removal of 2-CP, initial concentration, pH, contact time and Fe powder dosage were 5.0 mg/L, 3.23, 56.92 min and 2.50 g respectively.
The results show that the nZVI can be applied for treatment of organic contaminants in water and wastewater. Also, the optimum conditions of these theoretically obtained variables are beneficial for their monitoring which can be applied at an industrial-scale process.
Keywords: Nano scale iron particle; 2-Chlorophenol; Central composite design; Powder; Potential
Citation: Daraei H, Kamali H (2014) Experimental Design and Response Surface Modeling for Optimization of 2-Chlorophenol Removal from Water by Nanoscale Iron and Fe Powder. J Environ Anal Toxicol 4: 228. Doi: 10.4172/2161-0525.1000228
Copyright: © 2014 Daraei H, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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