通过门控异核双原子距离选择性活化高价钴氧自由基或硫酸盐自由基

IF 12.8 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-07-01 Epub Date: 2025-03-12 DOI:10.1016/j.watres.2025.123488
Jingjing Jiang , Yanan Zhang , Yansong Liu , Shengda Liu , Tongze Sun , Bowen Zhao , Ruixin Wang , Chongjun Zhang , Mingxin Huo , Dandan Zhou , Shuangshi Dong
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引用次数: 0

摘要

异核双原子工程已被广泛应用于类芬顿系统中产生选择性或非选择性活性物质。然而,活性物质对不同废水的适应是不同的,活性物质的灵活控制仍然是难以捉摸的,往往需要复杂和重复的原子修饰。在这里,我们提出了一种双原子距离门控策略,该策略可以调节钴位的自旋电子结构,使高价钴氧和硫酸盐自由基灵活转化,以适应废水处理。电子顺磁共振谱、磁化率-温度曲线和态偏密度显示,在3.8 nm处,高自旋钴的dx2−y2、dz2和dyz轨道上的电子转移到过氧单硫酸根上生成高价钴氧,在2.5 nm处,中自旋钴的dz2轨道上的电子转移到过氧单硫酸根上生成硫酸盐自由基。双原子距离为3.8 nm的类芬顿体系优先降解低正辛醇/水分配常数和高电离势的污染物,而双原子距离为2.5 nm的类芬顿体系容易降解高哈米特取代基常数和低解离常数的污染物。本研究阐明了双原子距离对类芬顿化学的影响,为设计智能类芬顿系统处理不同的废水处理场景提供了蓝图。
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Selective activation of peroxymonosulfate through gating heteronuclear diatomic distance for flexible generation of high-valent cobalt-oxo species or sulfate radicals
Heteronuclear diatomic engineering has been widely applied to generate selective or nonselective active species in Fenton-like system for wastewater treatment. However, active species adapted to diverse wastewater were different, and flexible control of active species has remained elusive, often necessitating complex and repetitive atom modifications. Here, we proposed a diatomic distance gating strategy that adjusted the spintronic structure of cobalt site for flexible transformation of high-valent cobalt-oxo and sulfate radical for adapted wastewater treatment. Electron paramagnetic resonance spectra, magnetic susceptibility-temperatur curve and partial density of states revealed electron transfer from dx2−y2, dz2 and dyz orbitals of high-spin cobalt to peroxymonosulfate for high-valent cobalt-oxo generation at 3.8 nm, and from dz2 orbital of medium-spin cobalt to peroxymonosulfate for sulfate radical generation at 2.5 nm. The Fenton-like system with 3.8 nm of diatomic distance preferentially degraded contaminants with low n-octanol/water partition constant and high ionization potential, while Fenton-like system with 2.5 nm of diatomic distance readily degraded contaminants with high Hammett substituent constant and low dissociation constant. This study elucidated the effect of diatomic distance on Fenton-like chemistry and provided a blueprint for the design of intelligent Fenton-like system for treating diverse wastewater treatment scenarios.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
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.
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