Two-dimensional Group III-VI Materials for Gas Sensors

化学 群(周期表) 有机化学
作者
Yan‐Qing Shao,Shuyang Meng,Sisi He,Jia Zhou
出处
期刊:Coordination Chemistry Reviews [Elsevier BV]
卷期号:543: 216924-216924 被引量:7
标识
DOI:10.1016/j.ccr.2025.216924
摘要

The distinctive properties of two-dimensional (2D) group III-VI materials, such as high electrical conductivity, anisotropic carrier mobility, and tunable surface functionalities, make them exceptional candidates for advanced resistive gas sensors. This review offers a comprehensive analysis of recent advancements in utilizing 2D III-VI materials for gas sensing applications. This review begins by examining the structural and electronic characteristics of these materials, establishing their relevance to gas sensing. The sensing performance of various 2D III-VI compositions (III M VI X ) is systematically evaluated, emphasizing their sensitivity, selectivity, and response times for detecting NO x , volatile organic compounds (VOCs), and other hazardous gases. Strategies to enhance their sensing capabilities, such as doping, heterojunction engineering, nanoscale structural modifications, and their impact on key sensor performance metrics, are thoroughly discussed. The underlying mechanisms, such as charge transfer and surface interactions, are analyzed to provide insights into the sensing process. Furthermore, potential applications in medical diagnostics, environmental monitoring, and industrial safety are discussed, along with the current challenges and prospects in scaling and improving these materials. By providing critical insights, this review aims to facilitate the development of next-generation 2D III-VI gas sensors with superior sensitivity, stability, and efficiency. • Provides a comprehensive overview of 2D group III-VI materials for gas sensing with tunable electronic properties. • Summarizes advanced strategies including doping, heterojunctions, and defect engineering to enhance sensing performance. • Analyzes fundamental charge transfer and adsorption mechanisms based on experimental and theoretical studies. • Explores potential applications and outlines key challenges for scalable, high-performance sensor integration.
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