Volume 10, Number 2 (9-2017)                   ijhe 2017, 10(2): 187-198 | Back to browse issues page


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Shokohi R, Shabanloo A, Zamani F. Evaluation of efficiency of persulfate activated with heat in 2,4-dinitrophenol degradation from aqueous solution by central composite design method. ijhe. 2017; 10 (2) :187-198
URL: http://ijhe.tums.ac.ir/article-1-5866-en.html

1- Department of Environmental Health Engineering, Faculty of Health, Hamadan University of Medical Sciences, Hamadan, Iran
2- Department of Environmental Health Engineering, Faculty of Health, Hamadan University of Medical Sciences, Hamadan, Iran , F.zamani2016@yahoo.com
Abstract:   (193 Views)
Background and Objective:  Nitrophenols are among the most common and toxic compounds in industrial effluents that 2, 4 dinitrophenol (2, 4-DNP) is the most toxic compound in this group. The object of this study was to optimize the removal of 2, 4-DNP by thermally activated persulfate using a central composite design.
Materials and Methods: This study was performed on a batch thermal reactor with a volume of 4 L. In this study, a central composite design (CCD) with RSM method was used for designing and optimizing the operation parameters such as initial pH of solution, potassium persulfate concentration and temperature. The effect of 2, 4-DNP concentration and reaction time at optimum conditions were also investigated.
Results: The results indicated that the degradation rate of 2, 4-DNP was enhanced by increasing the concentration of persulfate and reducing temperature and pH. The optimum conditions for the highest degradation efficiency (99%) were  as initial concentration 10 mg/L, reaction time 30 min, temperature 60 °C, Potassium persulfate concentration 10 mmol/L, and pH 5. At the optimum conditions, when 2, 4-DNP concentration was increased to 50 mg /L, the 2, 4-DNP degradation rate decreased to 73%.
Conclusion: This study indicated that the heat-activated PS oxidation could be an efficient approach for decomposition of 2, 4-DNP. Temperature was the most influential variable in this regard (p<0.0001).
 
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Type of Study: Research | Subject: wastewater
Received: 2017/03/9 | Accepted: 2017/08/14 | Published: 2017/09/20

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