Membrane-Based Persulfate Activation for Wastewater Treatment: A Critical Review of Materials, Mechanisms and Expectation

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1233 - 1233

Published: April 21, 2025

Membrane-based persulfate catalysis technology offers a dual approach to wastewater treatment by facilitating both physical separation and chemical oxidation. This innovative method significantly enhances pollutant removal efficiency while mitigating membrane fouling, positioning it as promising advanced oxidation for management. review comprehensively examines the critical aspects of material design, activation mechanisms, technological challenges. Membrane materials structures are crucial enhancing overall technology. By analyzing various catalytic modification strategies, study reveals intricate interactions between structures, performance, degradation. The clear mechanism degradation is key achieve accurate research highlights three primary pathways: free radical, non-radical, hybrid each offering unique advantages in addressing complex water contamination. Finally, future challenges directions put forward. Despite remarkable progress, remain stability, economic feasibility, large-scale implementation. Therefore, this outlines latest materials, prospects membrane-based technology, which expected promote its widespread application environmental governance.

Language: Английский

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COD concentration influence on membrane fouling and microbial communities in A/O-MBR and A/A-MBR systems

Environmental Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: May 21, 2025

Carbon sources in membrane bioreactor (MBR) significantly affect fouling by influencing microbial metabolic activities, mixed liquor characteristics, and community structure. This study explores the impact of chemical oxygen demand (COD) concentrations (200 120 mg/L) on denitrification, phosphorus removal, filtration performance, characteristics anaerobic/aerobic (A/O-MBR) anaerobic/anoxic (A/A-MBR) systems. Results revealed that higher COD reduced removal efficiency increased extracellular polymeric substance (EPS) production, index (FI), flux decline rates. Under these conditions, A/A-MBR exhibited lower compared to A/O-MBR. Correlation analysis showed strong relationships between FI EPS relative hydrophobicity (RH), as well protein content (PN) Zeta potential, highlighting a dominant factor fouling. 16S rRNA high-throughput sequencing further demonstrated A/O-MBR enriched denitrifying bacteria more effectively than A/A-MBR. These findings suggest optimising can mitigate improve overall reactor performance.

Language: Английский

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Emerging Contaminants in Water Systems: Detection, Environmental Impacts, and Sustainable Removal Solutions

Water Air & Soil Pollution, Journal Year: 2025, Volume and Issue: 236(8)

Published: June 2, 2025

Language: Английский

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Hybrid MBR–NF Treatment of Landfill Leachate and ANN-Based Effluent Prediction

Processes, Journal Year: 2025, Volume and Issue: 13(6), P. 1776 - 1776

Published: June 4, 2025

This study presents the long-term performance evaluation of a full-scale hybrid membrane bioreactor (MBR)–nanofiltration (NF) system for treatment high-strength municipal landfill leachate from Istanbul–Şile Kömürcüoda facility. Over 16-month operational period, influent and effluent samples were analyzed key parameters, including chemical oxygen demand (COD), ammonium nitrogen (NH4+-N), total phosphorus (TP), suspended solids (SS), temperature. The MBR unit consistently achieved high removal efficiencies COD NH4+-N (93.5% 98.6%, respectively), while NF stage provided effective polishing, particularly phosphorus, maintaining TP above 95%. Seasonal analysis revealed that biological peaked during spring, likely due to optimal microbial conditions. To support intelligent control strategies, artificial neural network (ANN) models developed predict concentrations using parameters. best-performing ANN R2 values 0.861 0.796, respectively. model’s robustness was validated through RMSE, MAE, 95% confidence intervals. Additionally, Principal Component Analysis (PCA) Random Forest algorithms employed determine parameter importance nonlinear interactions. findings demonstrate integration systems with AI-based modeling can enhance efficiency forecasting capabilities management, offering resilient data-driven approach sustainable operation.

Language: Английский

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Single-Atom Cobalt Anchored Biochar/PVDF Membrane for Antibiotic removal via Coupling Membrane Filtration and Sulfate-based Advanced Oxidation Processes

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 122097 - 122097

Published: June 1, 2025

Language: Английский

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