Dehghan Peymaneh, Abbasi Mohsen, Azari Ahmad, Mofarahi Masoud, Nowrouzi Mohsen, Dibaj Mahdieh, Akrami Mohammad
Department of Chemical Engineering, Faculty of Petroleum, Gas and Petrochemical Engineering, Persian Gulf University, Bushehr, 75169, Iran.
Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, Republic of Korea.
Sci Rep. 2025 Mar 27;15(1):10601. doi: 10.1038/s41598-025-94911-4.
Due to the global water crisis, water reclamation has been at the heart of consideration by the scientific communities in recent years. The main objective of this study was the synthesis of a green and sustainable photocatalyst from waste, specifically polyethylene terephthalate plastic bottles, for the efficient removal of methylene blue (MB). The characterization of the novel MWCNT@g-C₃N₄@Ag photocatalyst was carried out using FESEM, EDS-MAP, Raman, XRD, and DLS analysis. The optimization approach, based on Response Surface Methodology (RSM), demonstrated that the pH and initial concentration were the primary factors in improving MB degradation. Also, increasing the photocatalyst dosage and reaction time were appropriate for MB wastewater treatment. Furthermore, the predicted values showed strong agreement with the experimental results, with R = 0.95, Adj-R = 0.93, and a p-value of less than 0.0001. The optimized values were found to be a wastewater concentration of 12.6 mg L, pH of 9, photocatalyst dosage of 0.52 g L, and a reaction time of 231 min, achieving a removal efficiency of 99.89%. MWCNTs@g-CN@Ag demonstrated superior photocatalytic performance compared to the as-prepared multi-walled carbon nanotubes (MWCNTs). Consequently, MWCNTs@g-CN@Ag can be recommended as a promising photocatalyst for MB degradation in wastewater due to its environmental friendliness, low-cost precursors, and excellent wastewater purification performance.
由于全球水危机,水回收近年来一直是科学界关注的核心。本研究的主要目标是由废物,特别是聚对苯二甲酸乙二酯塑料瓶合成一种绿色可持续的光催化剂,用于高效去除亚甲基蓝(MB)。使用场发射扫描电子显微镜(FESEM)、能谱仪-映射分析(EDS-MAP)、拉曼光谱、X射线衍射(XRD)和动态光散射(DLS)分析对新型多壁碳纳米管@g-C₃N₄@Ag光催化剂进行了表征。基于响应面法(RSM)的优化方法表明,pH值和初始浓度是提高MB降解率的主要因素。此外,增加光催化剂用量和反应时间适用于MB废水处理。此外,预测值与实验结果高度吻合,R = 0.95,调整后R = 0.93,p值小于0.0001。优化值为废水浓度12.6 mg/L、pH值9、光催化剂用量0.52 g/L和反应时间231分钟,去除效率达到99.89%。与制备的多壁碳纳米管(MWCNTs)相比,MWCNTs@g-CN@Ag表现出优异的光催化性能。因此,由于其环境友好性、低成本前驱体和出色的废水净化性能,MWCNTs@g-CN@Ag可被推荐为一种有前途的用于废水中MB降解的光催化剂。