Zamani Wahid, Rastgar Saeedeh, Hedayati Aliakbar, Tajari Mohsen, Ghiasvand Zahra
Department of Environmental Science, Faculty of Natural Resources, University of Kurdistan, Sanandaj, 15175-66177, Iran.
Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgān, 49189-43464, Iran.
Sci Rep. 2024 Feb 23;14(1):4476. doi: 10.1038/s41598-024-54897-x.
The main purpose of this research endeavor is to reduce lead concentrations in the wastewater of an oil refinery through the utilization of a material composed of oyster shell waste (MIL-100(Fe)/Cygnea/FeO/TiO. Initially, iron oxide nanoparticles (FeO) were synthesized via solvent-thermal synthesis. It was subsequently coated layer by layer with the organic-metallic framework MIL-100 (Fe) using the core-shell method. Additionally, the solvent-thermal method was utilized to integrate TiO nanoparticles into the magnetic organic-metallic framework's structure. Varieties of analytical analysis were utilized to investigate the physical and chemical properties of the synthetic final photocatalyst. Nitrogen adsorption and desorption technique (BET), scanning electron microscopy (SEM), scanning electron diffraction pattern (XRD), and transmission electron microscopy (TEM). Following the characterization of the final photocatalyst, the physical and chemical properties of the nanoparticles synthesized in each step, several primary factors that significantly affect the removal efficiency in the advanced oxidation system (AOPs) were examined. These variables consist of pH, photocatalyst dosage, lead concentration, and reaction temperature. The synthetic photocatalyst showed optimal performance in the removal of lead from petroleum wastewater under the following conditions: 35 °C temperature, pH of 3, 0.04 g/l photocatalyst dosage, and 100 mg/l wastewater concentration. Additionally, the photocatalyst maintained a significant level of reusability after undergoing five cycles. The findings of the study revealed that the photocatalyst dosage and pH were the most influential factors in the effectiveness of lead removal. According to optimal conditions, lead removal reached a maximum of 96%. The results of this investigation showed that the synthetic photocatalyst, when exposed to UVA light, exhibited an extraordinary capacity for lead removal.
本研究的主要目的是通过利用由牡蛎壳废料组成的材料(MIL-100(Fe)/Cygnea/FeO/TiO)来降低炼油厂废水中的铅浓度。首先,通过溶剂热合成法合成了氧化铁纳米颗粒(FeO)。随后,采用核壳法将有机金属框架MIL-100(Fe)逐层包覆在其表面。此外,利用溶剂热法将TiO纳米颗粒整合到磁性有机金属框架结构中。采用多种分析方法来研究合成的最终光催化剂的物理和化学性质。包括氮吸附-脱附技术(BET)、扫描电子显微镜(SEM)、扫描电子衍射图谱(XRD)和透射电子显微镜(TEM)。在对最终光催化剂进行表征之后,对每一步合成的纳米颗粒的物理和化学性质进行了研究,并考察了在高级氧化系统(AOPs)中显著影响去除效率的几个主要因素。这些变量包括pH值、光催化剂用量、铅浓度和反应温度。该合成光催化剂在以下条件下对石油废水中铅的去除表现出最佳性能:温度35°C、pH值为3、光催化剂用量0.04 g/l以及废水浓度100 mg/l。此外,该光催化剂在经过五个循环后仍保持较高的可重复使用性。研究结果表明,光催化剂用量和pH值是影响铅去除效果的最主要因素。在最佳条件下,铅去除率最高可达96%。本研究结果表明,该合成光催化剂在紫外光照射下对铅具有非凡的去除能力。