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基于多孔材料的光电化学平台用于环境污染物检测的最新进展。

Recent advances in photoelectrochemical platforms based on porous materials for environmental pollutant detection.

作者信息

Liu Shiben, Zhan Jinhua, Cai Bin

机构信息

School of Chemistry and Chemical Engineering, Shandong University 250100 Jinan China

出版信息

RSC Adv. 2024 Mar 6;14(12):7940-7963. doi: 10.1039/d4ra00503a.

Abstract

Human health and ecology are seriously threatened by harmful environmental contaminants. It is essential to develop efficient and simple methods for their detection. Environmental pollutants can be detected using photoelectrochemical (PEC) detection technologies. The key ingredient in the PEC sensing system is the photoactive material. Due to the unique characteristics, such as a large surface area, enhanced exposure of active sites, and effective mass capture and diffusion, porous materials have been regarded as ideal sensing materials for the construction of PEC sensors. Extensive efforts have been devoted to the development and modification of PEC sensors based on porous materials. However, a review of the relationship between detection performance and the structure of porous materials is still lacking. In this work, we present an overview of PEC sensors based on porous materials. A number of typical porous materials are introduced separately, and their applications in PEC detection of different types of environmental pollutants are also discussed. More importantly, special attention has been paid to how the porous material's structure affects aspects like sensitivity, selectivity, and detection limits of the associated PEC sensor. In addition, future research perspectives in the area of PEC sensors based on porous materials are presented.

摘要

有害环境污染物严重威胁着人类健康和生态。开发高效、简便的检测方法至关重要。可使用光电化学(PEC)检测技术检测环境污染物。PEC传感系统的关键成分是光活性材料。由于具有大表面积、活性位点暴露增加、有效质量捕获和扩散等独特特性,多孔材料被视为构建PEC传感器的理想传感材料。人们已投入大量精力开发和改进基于多孔材料的PEC传感器。然而,仍缺乏对检测性能与多孔材料结构之间关系的综述。在这项工作中,我们对基于多孔材料的PEC传感器进行了概述。分别介绍了一些典型的多孔材料,并讨论了它们在不同类型环境污染物的PEC检测中的应用。更重要的是,特别关注了多孔材料的结构如何影响相关PEC传感器的灵敏度、选择性和检测限等方面。此外,还介绍了基于多孔材料的PEC传感器领域未来的研究前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f661/10915833/2a44034238e6/d4ra00503a-f1.jpg

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