氮/硫共掺杂石墨烯复合材料的可持续废水处理:机理见解和工艺优化

IF 6.7 2区 工程技术 Q1 ENGINEERING, CHEMICAL
Humaira Seema , Muhammad Arshad , Arslan Maqbool , Sumbal Zeb , Ali Hamid , Muhammad Umar , Sajjad Hussain , Hammad Khan
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引用次数: 0

摘要

由于合成染料的毒性、诱变性和致癌性,含染料工业废水的持续排放构成了环境和健康风险。本研究报道了一种氮/硫共掺杂的三维石墨烯复合材料(NSGH),通过简单的水热法从水介质中脱除结晶紫(CV)染料。表征技术(SEM, XRD, FTIR, EDX)证实了成功的杂原子掺入和具有丰富活性位点的多孔3D结构。采用Box-Behnken设计系统设计了批吸附实验,研究了pH、接触时间、初始染料浓度和吸附剂用量对NSGH吸附CV的影响。吸附性能通过三个关键指标进行评估:去除效率(RR)、吸附容量(q)和有效吸附容量(EAC), EAC是一个集去除率和容量于一体的无量纲参数。基于响应面法(RSM)和人工神经网络(ANN)的参数化建模结果表明,ANN的预测精度(R2 = 0.993)优于RSM (R2 = 0.975)。利用期望函数进行多目标优化,确定了最佳条件(pH: 7.0, 33.9 min, 39.9 mg L-1, 0.019 g),获得了90.84%的RR, 31.35 mg g−1 q和1.08 EAC。敏感性分析表明,初始染料浓度是所有指标中影响最大的变量。动力学数据最适合拟一阶模型,支持扩散控制的物理吸附,而统计物理和热力学分析证实了多层、自发和吸热吸附。DFT模拟强化了实验结果,表明NSGH上π -π和静电相互作用强(−18.82 kcal mol−1)。虽然在五个吸附-解吸循环中观察到性能逐渐下降,但NSGH表现出明显的可重复使用性,加强了其作为含染料废水的高效吸附剂的适用性。通过整合双掺杂、过程建模和系统评估,本工作为指导未来水处理材料的开发提供了一个实用的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sustainable wastewater treatment via nitrogen/sulfur co-doped graphene composite: Mechanistic insights & process optimization

Sustainable wastewater treatment via nitrogen/sulfur co-doped graphene composite: Mechanistic insights & process optimization
The persistent discharge of dye-laden industrial effluents poses environmental and health risks due to the toxic, mutagenic, and carcinogenic nature of synthetic dyes. This study reports the synthesis of a nitrogen/sulfur co-doped three-dimensional graphene composite (NSGH) via a simple hydrothermal method for crystal violet (CV) dye removal from aqueous media. Characterization techniques (SEM, XRD, FTIR, EDX) confirmed successful heteroatom incorporation and a porous 3D structure with abundant active sites. Batch adsorption experiments were systematically designed using a Box–Behnken design to investigate the effects of pH, contact time, initial dye concentration, and adsorbent dosage on CV adsorption onto NSGH. Adsorption performance was evaluated using three key metrics: removal efficiency (RR), adsorption capacity (q), and effective adsorption capacity (EAC), a dimensionless parameter integrating both removal rate and capacity. Parametric modeling via response surface methodology (RSM) and artificial neural networks (ANN) revealed ANN's superior predictive accuracy (R2 = 0.993) over RSM (R2 = 0.975). Multi-objective optimization using the desirability function identified optimal conditions (pH: 7.0, 33.9 min, 39.9 mg L-1, 0.019 g), achieving 90.84 % RR, 31.35 mg g−1 q, and 1.08 EAC. Sensitivity analysis indicated initial dye concentration as the most influential variable across all metrics. Kinetic data were best fitted by the pseudo-first-order model, supporting diffusion-controlled physisorption, while statistical physics and thermodynamic analyses confirmed multilayer, spontaneous, and endothermic adsorption. DFT simulations reinforced experimental outcomes, showing strong π–π and electrostatic interactions on NSGH (−18.82 kcal mol−1). Although a gradual decline in performance was observed over five adsorption–desorption cycles, NSGH demonstrated appreciable reusability, reinforcing its applicability as a high-efficiency adsorbent for dye-laden wastewater. By integrating dual doping, process modeling, and systematic evaluation, this work offers a practical framework for guiding the development of future water treatment materials.
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来源期刊
Journal of water process engineering
Journal of water process engineering Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
10.70
自引率
8.60%
发文量
846
审稿时长
24 days
期刊介绍: The Journal of Water Process Engineering aims to publish refereed, high-quality research papers with significant novelty and impact in all areas of the engineering of water and wastewater processing . Papers on advanced and novel treatment processes and technologies are particularly welcome. The Journal considers papers in areas such as nanotechnology and biotechnology applications in water, novel oxidation and separation processes, membrane processes (except those for desalination) , catalytic processes for the removal of water contaminants, sustainable processes, water reuse and recycling, water use and wastewater minimization, integrated/hybrid technology, process modeling of water treatment and novel treatment processes. Submissions on the subject of adsorbents, including standard measurements of adsorption kinetics and equilibrium will only be considered if there is a genuine case for novelty and contribution, for example highly novel, sustainable adsorbents and their use: papers on activated carbon-type materials derived from natural matter, or surfactant-modified clays and related minerals, would not fulfil this criterion. The Journal particularly welcomes contributions involving environmentally, economically and socially sustainable technology for water treatment, including those which are energy-efficient, with minimal or no chemical consumption, and capable of water recycling and reuse that minimizes the direct disposal of wastewater to the aquatic environment. Papers that describe novel ideas for solving issues related to water quality and availability are also welcome, as are those that show the transfer of techniques from other disciplines. The Journal will consider papers dealing with processes for various water matrices including drinking water (except desalination), domestic, urban and industrial wastewaters, in addition to their residues. It is expected that the journal will be of particular relevance to chemical and process engineers working in the field. The Journal welcomes Full Text papers, Short Communications, State-of-the-Art Reviews and Letters to Editors and Case Studies
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