Humaira Seema , Muhammad Arshad , Arslan Maqbool , Sumbal Zeb , Ali Hamid , Muhammad Umar , Sajjad Hussain , Hammad Khan
{"title":"Sustainable wastewater treatment via nitrogen/sulfur co-doped graphene composite: Mechanistic insights & process optimization","authors":"Humaira Seema , Muhammad Arshad , Arslan Maqbool , Sumbal Zeb , Ali Hamid , Muhammad Umar , Sajjad Hussain , Hammad Khan","doi":"10.1016/j.jwpe.2025.108701","DOIUrl":null,"url":null,"abstract":"<div><div>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 (R<sup>2</sup> = 0.993) over RSM (R<sup>2</sup> = 0.975). Multi-objective optimization using the desirability function identified optimal conditions (pH: 7.0, 33.9 min, 39.9 mg L<sup>-1</sup>, 0.019 g), achieving 90.84 % RR, 31.35 mg g<sup>−1</sup> 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<sup>−1</sup>). 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.</div></div>","PeriodicalId":17528,"journal":{"name":"Journal of water process engineering","volume":"78 ","pages":"Article 108701"},"PeriodicalIF":6.7000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of water process engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221471442501774X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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