Nanoconfined catalytic macrostructures for advanced water remediation: From basic understanding to future application strategies

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-12-11 DOI:10.1016/j.watres.2024.122960
Jiale Chang, Bingliang Yu, Xiaoming Peng, Ping Zhang, Xing Xu
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Abstract

In recent years, nanoconfined catalytic macrostructures applied to advanced oxidation processes (AOPs) have been rapidly developed, effectively solving the problems of traditional heterogeneous AOPs, such as mass transfer limitation, limited diffusion of short-lived reactive oxygen species (ROS), and aggregation/leaching of catalysts. Compared with the traditional heterogeneous AOPs systems, the nanoconfined catalytic macrostructures have unique interactions between the oxidants, catalysts, ROS and micropollutants, which could significantly increase the yield and mass transfer of ROS. At present, there is a lack of comprehensive reviews on the nanoconfined catalytic macrostructures from basic theory to application performances and future development strategies. This study reviewed the preparation routines of various nanoconfined catalytic macrostructures, assessed their structural differences, catalytic properties and nanoconfined catalytic mechanisms via integrated density functional theory (DFT) and molecular dynamics (MD) stimulations. We also proposed the future strategies for nanoconfined catalytic macrostructures in combination with the machine learning, which could provide key information on the feasibility of the technology and future research directions. This review aims to enhance scholarly interest in the application of nanoconfined macrostructures in the AOPs fields, anticipating significant technical feasibilities for scale-up AOPs application of nanoconfinement.
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近年来,应用于高级氧化工艺(AOPs)的纳米封闭催化大结构得到了快速发展,有效解决了传统异相 AOPs 存在的传质受限、短寿命活性氧(ROS)扩散受限、催化剂聚集/浸出等问题。与传统的异相 AOPs 系统相比,纳米封闭催化宏观结构在氧化剂、催化剂、ROS 和微污染物之间具有独特的相互作用,可显著提高 ROS 的产量和传质。目前,从基础理论到应用性能和未来发展战略,缺乏对纳米封闭催化宏观结构的全面综述。本研究通过综合密度泛函理论(DFT)和分子动力学(MD)激励,回顾了各种纳米封闭催化宏观结构的制备过程,评估了它们的结构差异、催化性能和纳米封闭催化机理。我们还结合机器学习提出了纳米封闭催化宏观结构的未来策略,为该技术的可行性和未来研究方向提供了关键信息。本综述旨在提高学术界对纳米封闭催化宏观结构在 AOPs 领域应用的兴趣,为纳米封闭催化宏观结构在 AOPs 领域的规模化应用提供重要的技术可行性。
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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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