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Enhanced COD Reduction of Olefin Plant Spent Caustic Wastewater using Easily Recyclable Cu(BDC)/MgO Nanocomposites | ||
| Journal of Chemical and Petroleum Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 23 فروردین 1405 اصل مقاله (2.53 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jchpe.2026.391601.1603 | ||
| نویسندگان | ||
| Soleiman Mosleh* 1؛ Mohammad Mehdi Sabzehmeidani2 | ||
| 1Department of Gas and Petroleum, Yasouj University, Gachsaran 75918-74831, Iran | ||
| 2Department of Chemical Engineering, 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 using a microwave-assisted technique, serving as efficient photocatalysts. An artificial neural network (ANN) model was established to estimate COD concentrations and optimize treatment parameters, with a target of achieving a superior COD reduction. The research aimed to minimize the hydrogen peroxide to COD ratio and 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 | ||
| Cu(BDC)/MgO Nanocomposites؛ Chemical oxygen demand؛ Spent caustic؛ Degradation؛ Petrochemical effluent؛ Artificial neural network | ||
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آمار تعداد مشاهده مقاله: 135 تعداد دریافت فایل اصل مقاله: 161 |
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