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Mosleh, Soleiman, Sabzehmeidani, Mohammad Mehdi. (1405). Enhanced COD Reduction of Olefin Plant Spent Caustic Wastewater Using Easily Recyclable Cu(BDC)/MgO Nanocomposites. , 60(1), 89-107. doi: 10.22059/jchpe.2026.391601.1603
Soleiman Mosleh; Mohammad Mehdi Sabzehmeidani. "Enhanced COD Reduction of Olefin Plant Spent Caustic Wastewater Using Easily Recyclable Cu(BDC)/MgO Nanocomposites". , 60, 1, 1405, 89-107. doi: 10.22059/jchpe.2026.391601.1603
Mosleh, Soleiman, Sabzehmeidani, Mohammad Mehdi. (1405). 'Enhanced COD Reduction of Olefin Plant Spent Caustic Wastewater Using Easily Recyclable Cu(BDC)/MgO Nanocomposites', , 60(1), pp. 89-107. doi: 10.22059/jchpe.2026.391601.1603
Mosleh, Soleiman, Sabzehmeidani, Mohammad Mehdi. Enhanced COD Reduction of Olefin Plant Spent Caustic Wastewater Using Easily Recyclable Cu(BDC)/MgO Nanocomposites. , 1405; 60(1): 89-107. doi: 10.22059/jchpe.2026.391601.1603

Enhanced COD Reduction of Olefin Plant Spent Caustic Wastewater Using Easily Recyclable Cu(BDC)/MgO Nanocomposites

Journal of Chemical and Petroleum Engineering
دوره 60، شماره 1، شهریور 2026، صفحه 89-107    اصل مقاله (1.36 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jchpe.2026.391601.1603
نویسندگان
Soleiman Mosleh* 1؛ Mohammad Mehdi Sabzehmeidani2
1Polymer Eng. Dept, Faculty of Gas and Petroleum, Yasouj University, Gachsaran, Iran.
2Chem. Eng. Dept., University of Science and Technology of Mazandaran, Behshahr, Iran.
چکیده
This study explored the photocatalytic degradation process for treating industrial spent caustic wastewater, focusing on reducing chemical oxygen demand (COD). Cu(BDC)/MgO nanocomposites were synthesized via microwave-assisted synthesis and served as efficient photocatalysts. An artificial neural network (ANN) model was developed to estimate COD concentrations and optimize treatment parameters, aiming to achieve superior COD reduction. The research aimed to minimize the hydrogen peroxide-to-COD ratio and to optimize other factors influencing COD removal. The synthesized nanocomposites were characterized by X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), and energy-dispersive X-ray spectroscopy (EDS) elemental mapping. Optimal parameters for achieving a 97.55% COD removal efficiency were identified as a nanocomposite dose of 1.30 g/L, an H2O2/Spent caustic wastewater ratio of 1.50 ml/L, a pH of 3.0, a treatment time of 35 min, and an aeration flow rate of 2.50 L/min. Catalyst recycling studies demonstrated the exceptional recyclability and stability of the Cu(BDC)/MgO nanocomposites, showing they could be reused as catalysts even after five treatment cycles. This highlights the potential for prolonged and sustainable use of these nanocomposites in wastewater treatment processes, effectively reducing COD levels in spent caustic effluents.
کلیدواژه‌ها
Artificial Neural Network؛ Cu(BDC)/MgO Nanocomposites؛ Chemical Oxygen Demand Spent Caustic Degradation؛ Petrochemical Effluent
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