Jie Zhao, Chang Lu, Junzhao Liu, Yuze Han, Xiuwen Li, Jun Li, Wentao Li, Hongbin Xu, Jingqing Gao, Aimin Li, Shuqing An
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引用次数: 0
Abstract
Ammonia nitrogen (NH₄⁺-N) and antibiotics often co-exist in aquaculture effluents, exacerbating ecological toxicity and complicating their removal. A novel multiphase composite (SS/MS/C/CaO₂) was developed, in which steel slag (SS) and manganese slag (MS) served as metal sources, activated carbon functioned both as an electron mediator and adsorbent, and calcium peroxide (CaO₂) functioned as an oxidant precursor, enabling the simultaneous removal of NH₄⁺-N and four typical antibiotics (sulfamethoxazole, enrofloxacin, ofloxacin, and florfenicol). Coupling this material with a microbial system further revealed a “material-microbe” synergy and its potential for pollution control. The optimized composite was formulated with SS:MS = 1:1 and SS+MS:CaO₂ = 3:2, supplemented by 30% cement and 5% activated carbon. Batch experiments demonstrated efficient simultaneous removal of NH₄⁺-N and antibiotics under both acidic and neutral conditions, with removal efficiencies exceeding 70% and 64%, respectively. The system also exhibited strong tolerance to common anions and humic acid, with maximum inhibition of only ∼20%. Mechanistic analysis revealed that the slow release of CaO₂ generated H₂O₂, which served as a continuous oxidant precursor. The redox cycle of multivalent Fe/Mn states in SS and MS sustained an efficient Fenton-like reaction, facilitating the generation of •OH and ¹O₂ via synergistic interactions with the surface functional groups of activated carbon. ¹O₂ was identified as the dominant reactive species, selectively facilitating the conversion of NH₄⁺ to N₂ and effectively degrading key antibiotic structures, thereby mitigating ecotoxicity (OD₆₀₀ of E. coli remained between 1.2 and 1.4 during 24 h of treatment). Continuous flow column experiments further demonstrated that the system consistently achieved 80-99% NH₄⁺-N removal efficiency and 70-99% antibiotic removal efficiency in both simulated and actual aquaculture tailwater. It also enriched dominant bacterial genera (such as Silanimonas, Fontibacter, and Hydrogenophaga) capable of denitrification and antibiotic degradation. Notably, Fe/Mn levels stayed below detection limits, with operating costs 20-35% lower than conventional Fenton-like systems. In conclusion, the composite shows excellent catalytic activity, ecological adaptability, and engineering potential for treating complex pollutants.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.