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基于高效去除亚甲基蓝染料的纳米复合材料的合成与表征:吸附动力学及响应面法优化

Synthesis and Characterization of a Nanocomposite Based on for Efficient Removal of Methylene Blue Dye: Adsorption Kinetics and Optimization by Response Surface Methodology.

作者信息

Boumezough Yasser, Viscusi Gianluca, Arris Sihem, Gorrasi Giuliana, Carabineiro Sónia A C

机构信息

Laboratory of Environmental Process Engineering, Faculty of Process Engineering, University Salah Boubnider Constantine 3, Constantine 25000, Algeria.

Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.

出版信息

Int J Mol Sci. 2025 Jul 13;26(14):6717. doi: 10.3390/ijms26146717.

Abstract

In this study, an efficient and cost-effective nanocomposite material based on (cactus) powder modified with iron oxide nanoparticles was developed as an adsorbent for the removal of methylene blue (MB), a common water pollutant. The nanocomposite was synthesized through the co-precipitation method of Fe and Fe ions and characterized using Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) coupled with energy-dispersive X-ray spectroscopy (EDS) and thermogravimetric analysis (TGA). Batch adsorption experiments were conducted over 24 h, varying different operational conditions, such as pH, temperature and initial pollutant concentration. Furthermore, a Box-Behnken design was employed to develop an empirical model for predicting removal efficiency and optimizing the adsorption conditions. The effects of adsorption variables including contact time (1-60 min), initial MB concentration (20-100 mg/L), pH (2-12), adsorbent dosage (2-6 g/L) and temperature (25-55 °C) on the removal capacity were examined. Under optimal conditions, the maximum removal efficiency of MB reached approximately 96%, with a maximum adsorption capacity of 174 mg/g, as predicted by the Langmuir model. The synthesized cactus/iron oxide nanocomposite demonstrated significant potential as an adsorbent for treating MB-contaminated water.

摘要

在本研究中,开发了一种基于用氧化铁纳米颗粒改性的仙人掌粉末的高效且具有成本效益的纳米复合材料,作为去除常见水污染物亚甲基蓝(MB)的吸附剂。通过铁离子和亚铁离子的共沉淀法合成了该纳米复合材料,并使用傅里叶变换红外光谱(FTIR)、扫描电子显微镜(SEM)结合能量色散X射线光谱(EDS)和热重分析(TGA)对其进行了表征。在24小时内进行了批量吸附实验,改变了不同的操作条件,如pH值、温度和初始污染物浓度。此外,采用Box-Behnken设计来建立一个预测去除效率和优化吸附条件的经验模型。考察了吸附变量包括接触时间(1-60分钟)、初始MB浓度(20-100毫克/升)、pH值(2-12)、吸附剂用量(2-6克/升)和温度(25-55°C)对去除能力的影响。在最佳条件下,如Langmuir模型所预测的,MB的最大去除效率达到约96%,最大吸附容量为174毫克/克。合成的仙人掌/氧化铁纳米复合材料显示出作为处理MB污染水的吸附剂的巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35fc/12295722/0dfd555b6b57/ijms-26-06717-g001.jpg

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