Single Atom and Nanocluster Photocatalysts for Hydrogen Peroxide Synthesis under Visible Light

IF 4.3 Q2 ENGINEERING, CHEMICAL
Williams Kweku Darkwah*, Alfred Bekoe Appiagyei, Samuel Nartey Kofie, Samuel Twum Akrofi, Daniel Adjah Anang, Godfred Kwesi Teye and Joshua Buer Puplampu*, 
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引用次数: 0

Abstract

The utilization of single-atom and nanocluster catalysis in various chemical processing industries and applications is well-established. Their monodispersity and well-defined arrangement facilitate their interrogation of the fundamental physical properties necessary for the significant application in structural composites, electrical devices and catalytic chemical reactions, particularly in high-temperature environments. Hydrogen peroxide (H2O2) stands out as a highly effective oxidizing agent, distinguished by its environmentally benign nature, as it yields only water as a byproduct postredox process. Their versatility of H2O2 spans diverse fields including pulp and paper bleaching, disinfection, detergent formulation, chemical synthesis, textile manufacturing and electronic production. This paper aims to elucidate recent advancements in engineering single-atoms and nanocluster-based photocatalysts, emphasizing their evolving structural modification strategies, catalytic mechanisms, synthesis methodologies and the mechanisms underlying H2O2 production. Furthermore, this review underscores the potential future application of these catalysts in environmental treatment, particularly in the context of H2O2 production. By focusing on the functionality and efficacy of employing SACs for H2O2 production, this study aims to inform the development of future implementations to mitigate environmental impacts. Consequently, these materials emerge as promising candidates for environmentally friendly applications including refined fuel production and associated environmental treatment processes.

单原子和纳米团簇光催化剂在可见光下合成过氧化氢
单原子和纳米团簇催化在各种化学加工工业和应用中的应用已经建立。它们的单分散性和明确的排列有利于它们在结构复合材料,电气设备和催化化学反应,特别是在高温环境中的重要应用中所必需的基本物理性质的研究。过氧化氢(H2O2)是一种高效的氧化剂,其特点是对环境无害,因为它在氧化后只产生水作为副产物。其H2O2的多功能性涵盖纸浆和纸张的漂白、消毒、洗涤剂配方、化学合成、纺织制造和电子生产等多个领域。本文综述了单原子光催化剂和纳米团簇光催化剂的研究进展,重点介绍了它们的结构修饰策略、催化机理、合成方法和产生H2O2的机理。此外,这篇综述强调了这些催化剂在环境处理中的潜在应用前景,特别是在H2O2生产的背景下。通过关注SACs生产H2O2的功能和功效,本研究旨在为未来实施的发展提供信息,以减轻对环境的影响。因此,这些材料成为环境友好型应用的有希望的候选者,包括精炼燃料生产和相关的环境处理过程。
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来源期刊
ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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