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Pollution of water in the environment by toxic organic pollutants such as pesticides has become a global distress for water quality and as a basis of serious hazards for humans and animals. The Cresols denote groups of chemical phenolic compounds used widely in resin industrialized, herbicide such as dinitro-ocresol, pharmaceuticals and surfactants. Wastewater from these industries along with petrochemicals hold a high concentration of Cresol derivatives. These pollutants retain an important hazard to the environment, as they are poisonous and recalcitrant in nature (1). p-Nitro Cresol is a phenolic compound, wildly employed in the petrochemical, chemical and pharmaceutical businesses. It has been also listed as one of the important pollutants by the US-EPA (2). There are three classical methods for the treatment of wastewater such as physical, chemical and biological methods. The classical systems have great operational costs, secondary pollution and a longer reaction time, so, using new methods without these problems are desirable. Advanced oxidation processes (AOPs) have been explored as successful A-R-T-I-C-L-EI-N-F-O A-B-S-T-R-A-C-T Article Notes: Received: May 20, 2017 Received in revised form: Jun 20, 2017 Accepted: Jun 25, 2017 Available Online: Jun 28, 2017 Background & Aims of the Study: One of the most carcinogenic and toxic pollutants is p-Nitro Cresol. In this study, the degradation and mineralization of p-Nitro Cresol in aqueous solution were investigated by Fenton process in a batch reactor. Materials & Methods: This study is an experimental research on a laboratory scale. The study executed on synthetic wastewater having p-Nitro Cresol. The impact of operational factors such as pH, initial concentration of hydrogen peroxide and Ferrous ions was also investigated. The Box–Behnken design (BBD) of experiments and the response surface methodology (RSM) were employed to study the effects of three independent variables in the response function to acquire the optimal conditions. Results:The ANOVA (analysis of variance) tests were executed to conclude the importance of the effects of independent variables on the response function. The ANOVA displayed a high determination coefficient value (R=92.88, R2adj=96.85 and R 2 pred=82.06) and satisfactory prediction second-order regression model. Different amounts of variables were optimized for the removal of p-Nitro Cresol in Fenton process. The optimum conditions predicted by the model were as follows: the (Fe)=0.77 mM, pH at 2.95, and (H2O2)=19.8 mM. Conclusions: The results exhibited that at the predicted optimum conditions and after 45 min of reaction, the removal of p-Nitro Cresol and Chemical oxygen demand (COD) were 97.4 and 48.0%, respectively. The Fenton process was powerful in the removal of p-Nitro Cresol, but it can remove the COD to some extent

An Investigation of p-Nitro Cresol Removal from Aqueous Environment by Fenton Process in a Batch Reactor