Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown
Опубликована: Май 30, 2025
Язык: Английский
Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown
Опубликована: Май 30, 2025
Язык: Английский
Processes, Год журнала: 2025, Номер 13(4), С. 1133 - 1133
Опубликована: Апрель 9, 2025
Metal–organic frameworks (MOFs) have garnered significant attention for water purification in recent years. In particular, UiO-66 (a member of the UiO-MOF family, developed at University Oslo) has emerged as a promising material. exhibits excellent adsorption through electrostatic interaction, π–π stacking and Lewis acid–base coordination mechanisms. The photocatalytic degradation property was enhanced metal doping, composite with semiconductor materials, defect engineering, etc., removal efficiency pollutants significantly improved. This review systematically describes structure synthesis methods UiO-66, including solvothermal, microwave-assisted, mechanized electrochemical methods, well application various pollutants.
Язык: Английский
Процитировано
0Colloids and Surfaces C Environmental Aspects, Год журнала: 2025, Номер unknown, С. 100070 - 100070
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Water, Год журнала: 2025, Номер 17(11), С. 1647 - 1647
Опубликована: Май 29, 2025
This review systematically examines the critical mechanisms and process optimization strategies of algal–bacterial granular sludge (ABGS) technology in wastewater treatment. The key findings highlight following: (1) enhanced pollutant removal—ABGS achieves >90% COD removal, >80% total nitrogen elimination via nitrification–denitrification coupling, 70–95% phosphorus uptake through polyphosphate-accumulating organisms (PAOs), with simultaneous adsorption heavy metals (e.g., Cu2+, Pb2+) EPS binding; (2) energy-saving advantages—microalgal oxygen production reduces aeration energy consumption by 30–50% compared to conventional activated sludge, while stability maintains >85% biomass retention under hydraulic shocks; (3) AI-driven optimization—machine learning models enable real-time prediction nutrient removal efficiency (±5% error) correlating microbial composition Nitrosomonas abundance) operational parameters (DO: 2–4 mg/L, pH: 7.5–8.5). further identifies EPS-mediated co-aggregation Chlorella–Pseudomonas cross-feeding as pivotal for system resilience. These advances position ABGS a sustainable solution low-carbon treatment, although challenges persist scaling photobioreactors maintaining symbiosis fluctuating industrial loads.
Язык: Английский
Процитировано
0Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown
Опубликована: Май 30, 2025
Язык: Английский
Процитировано
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