基于单铁原子电子组态调控的自补充中性类芬顿处理新出现的污染物

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Wen-Min Wang , Wen-Long Wang , Lin Gan , Yuxiong Huang , Danmeng Shuai , Min-Yong Lee , Qian-Yuan Wu
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引用次数: 0

摘要

Fenton技术在去除废水中难降解和有毒有机污染物方面具有广阔的应用前景。中性芬顿技术因其减少酸的使用和提高操作便利性而被首选。然而,挑战在于活性物质的低产量和高价铁(Fe)向低价铁的有限转化。本研究引入了一种利用高价铁氧物种[Fe(IV)=O]直接参与降解,促进铁再生的新循环。为了实现这一目标,我们开发了一种O掺杂单铁原子催化剂(SACs, Fe- n3o1)来促进Fe(IV)=O的高效生成。O掺杂使Fe- n3o1的对乙酰氨基酚降解速率常数和周转频率提高了约10倍,使Fe(IV)=O的稳态浓度提高了65倍以上。Fe-N3O1/H2O2的归一化降解速率常数优于其他已报道的催化剂。密度泛函理论计算表明,O掺杂降低了Fe位点的电荷密度,增强了金属-氧键强度,降低了关键反应中间体(*O + *H2O)的能垒,促进了Fe(IV)=O的高效选择性生成。Fe-N3O1/H2O2具有广泛的pH耐受性,对复杂水基质的高抗性和优异的稳定性,具有实际应用前景。本研究为控制活性物质的选择性生成以实现可持续的中性类芬顿反应提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Self-replenishing neutral Fenton-like treatment for emerging contaminants through single Fe atom electron configuration regulation

Self-replenishing neutral Fenton-like treatment for emerging contaminants through single Fe atom electron configuration regulation

Self-replenishing neutral Fenton-like treatment for emerging contaminants through single Fe atom electron configuration regulation
Fenton technology is promising for removing recalcitrant and toxic organic contaminants for wastewater purification. Neutral Fenton technology is preferred for its reduced acid usage and improved operational convenience. However, the challenges are the low production of reactive species and the limited conversion of high-valent iron (Fe) to low-valent Fe. This study introduced a new cycle employing high-valent iron-oxo species [Fe(IV)=O], which directly participates in degradation, facilitating Fe regeneration. To achieve it, we developed an O-doped single Fe atom catalyst (SACs, Fe-N3O1) to promote the efficient Fe(IV)=O generation. The O-doping improved the acetaminophen degradation rate constant and turnover frequency of Fe-N3O1 by approximately tenfold, and elevated the steady-state concentration of Fe(IV)=O 65 times over. The normalized degradation rate constant of Fe-N3O1/H2O2 was superior to other reported catalysts. Density functional theory calculations indicated that O-doping decreased the charge density of Fe site, enhanced the metal–oxygen bond strength, and reduced the energy barrier for the key reaction intermediate (*O + *H2O), facilitating the efficient and selective formation of Fe(IV)=O. Fe-N3O1/H2O2 demonstrated wide pH tolerance, high resistance to complex water matrices, and excellent stability, making it promising for practical applications. This study provides a new perspective on controlling the selective generation of reactive species to achieve sustainable neutral Fenton-like reactions.
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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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