催化作用
双金属片
污染物
废水
矿化(土壤科学)
化学
协同催化
化学工程
工业废水处理
结垢
污水处理
聚合
原位
环境化学
斑马鱼
多相催化
再生(生物学)
生物反应器
组合化学
谷胱甘肽
纳米技术
作者
Zhi-Quan Zhang,Xiaobin Xu,Pijun Duan,Ying Shao,Que Wang,Zhi-Hao Qin,Chang-Wei Bai,Xin-Jia Chen,Yì Wáng,Fu-Qiao Yang,Fei Chen
标识
DOI:10.1038/s41467-026-71644-0
摘要
Polymerization-based wastewater treatment offers reduced oxidant demand and product recovery, yet practical application is hindered by catalyst fouling and unselective reactions due to single-site competition. Here, we report a readily synthesized and scalable ZnO/CuO catalyst featuring dual functional sites that decouple pollutant and oxidant activation. Zn sites preferentially adsorb/activate organics, whereas Cu sites predominantly activate the oxidant. This site differentiation programs two pathway regimes governed by pollutant electronic structure: electron-transfer-mediated polymerization for electron-rich substrates and radical-induced mineralization for electron-deficient substrates. Importantly, radicals generated during mineralization depolymerize the accumulated foulant layer in situ, effecting autonomous catalyst regeneration with a 2.5-fold performance recovery and reduced external regeneration demand. Process performance is validated in a 200 L self-circulating reactor, maintaining 98% removal efficiency for both pollutant classes over ten cycles. Toxicological profiling across multiple biological models, supported by metabolomics, confirmed effective detoxification of multi-pollutant wastewater, including restoration of normal metabolic function in zebrafish (e.g., lipid and glutathione metabolism). This study establishes a dual-site cooperative catalysis framework that leverages intrinsic wastewater chemistry for self-regeneration, showcasing a complete trajectory from atomic-scale design to reactor-scale implementation. A ZnO/CuO catalyst featuring dual-site cooperative framework for polymerization-based wastewater treatment. Zn sites preferentially adsorb/activate organics, whereas Cu sites predominantly activate the oxidant, showcasing atomic-scale design to reactor-scale implementation.
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