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Process Optimization and Modeling by Response Surface Methodology of Nitrite Electro-Reduction by Ti/RuO<sub>2</sub> + IrO<sub>2</sub> Electrode

Process Optimization and Modeling by Response Surface Methodology of Nitrite Electro-Reduction by Ti/RuO<sub>2</sub> + IrO<sub>2</sub> Electrode
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摘要 Electrochemical reduction is one of the most suitable methods for the treatment of highly nitrate-contaminated solutions. This work focuses on the optimization of parameters influencing the electrochemical denitrification of water by the Ti/RuO<sub>2</sub> + IrO<sub>2</sub> electrode. The methodological approach used consists in carrying out a series of electrolysis by scrutinizing the reaction selectivity according to the experimental conditions. For this study, the  ions concentrations before and after electrolysis were determined by UV-vis absorption spectroscopy. The results of the process optimization showed that the electrochemical reduction ofis efficient at neutral pH after 120 mn of electrolysis at -100 mA. In contrast to works found in the literature, this study highlighted the process modeling that could open interesting perspectives to develop new treatment methods of polluted waters. Electrochemical reduction is one of the most suitable methods for the treatment of highly nitrate-contaminated solutions. This work focuses on the optimization of parameters influencing the electrochemical denitrification of water by the Ti/RuO<sub>2</sub> + IrO<sub>2</sub> electrode. The methodological approach used consists in carrying out a series of electrolysis by scrutinizing the reaction selectivity according to the experimental conditions. For this study, the  ions concentrations before and after electrolysis were determined by UV-vis absorption spectroscopy. The results of the process optimization showed that the electrochemical reduction ofis efficient at neutral pH after 120 mn of electrolysis at -100 mA. In contrast to works found in the literature, this study highlighted the process modeling that could open interesting perspectives to develop new treatment methods of polluted waters.
作者 Mar Bassine Boye Abdou Khadre Djily Dimé Adama Diop Cheikhou Kane Modou Fall Mar Bassine Boye;Abdou Khadre Djily Dimé;Adama Diop;Cheikhou Kane;Modou Fall(Département de Chimie, UFR SATIC, Equipe des Matériaux, Electrochimie et Photochimie Analytiques (EMEPA) de l’Université Alioune Diop de Bambey, Bambey, Sénégal;Laboratoire d’Electrochimie et de Procédés Membranaires (LEPM), Ecole Supérieure Polytechnique de Dakar, Dakar, Sénégal;Laboratoire de Chimie Physique Organique et d’Analyses Environnementales, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal)
出处 《American Journal of Analytical Chemistry》 2023年第12期531-540,共10页 美国分析化学(英文)
关键词 Electrochemical Reduction Water Treatment NITRITE Optimization MODELLING Electrochemical Reduction Water Treatment Nitrite Optimization Modelling
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