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Green-Synthesized Graphene Based TiO₂ Nanocomposite with High Photocatalytic Efficiency for Water Purification | ||
| Challenges in Nano and Micro Scale Science and Technology | ||
| مقاله 4، دوره 13، شماره 1، خرداد 2025، صفحه 29-38 اصل مقاله (750.08 K) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/cnmst.2026.54358.1271 | ||
| نویسندگان | ||
| Arash Khoshnoodfar* 1؛ Sanaz Khammar2؛ Ehsan Moeini Feyzabadi3 | ||
| 1University of Birjand | ||
| 2Department of Landscape Design Engineering, Faculty of Geography and Environmental Planning, University of Sistan & Baluchestan, Zahedan, Iran | ||
| 3Department of Environment, Faculty of Faculty of Natural Resources and Environment, Birjand University, Birjand, Iran | ||
| چکیده | ||
| In this study, a walnut shell-derived Graphene based TiO₂ nanocomposite was successfully synthesized and applied for the photocatalytic degradation of Reactive Red 198 dye in aqueous solutions. The nanocomposite was characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), and Fourier-transform infrared spectroscopy (FTIR), confirming its crystalline structure, high surface area, and effective functionalization. The effects of catalyst dose, H₂O₂ concentration, reaction time, and initial pH on dye removal efficiency were systematically investigated using Response Surface Methodology (RSM). The results indicated that the optimal conditions acidic pH, higher catalyst dosage, sufficient H₂O₂ concentration, and prolonged reaction time achieved the maximum dye removal efficiency of 83%. Numerical optimization and RSM modeling provided reliable predictions of process performance, demonstrating the potential of this green, biomass-derived nanocomposite as an efficient and sustainable photocatalyst for wastewater treatment.Numerical optimization and RSM modeling provided reliable predictions of process performance, demonstrating the potential of this green, biomass-derived nanocomposite as an efficient and sustainable photocatalyst for wastewater treatment. | ||
| کلیدواژهها | ||
| Graphene؛ Photocatalysis؛ Dye removal؛ Walnut shell؛ Response Surface Methodology | ||
| مراجع | ||
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