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Highly Discriminative Detection of Nitrophenol Isomers by Covalent Organic Framework Membrane-Modified Electrochemical Sensors

化学 硝基苯酚 共价键 电化学 判别式 色谱法 组合化学 有机化学 电极 生物化学 人工智能 物理化学 计算机科学 催化作用
作者
Nuo Dong,Jiayi Cao,Xinru Li,Lin Zhou,Bin Su
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:97 (34): 18769-18775
标识
DOI:10.1021/acs.analchem.5c03448
摘要

Nitrophenol isomers (NPs), namely, ortho-, meta-, and para-nitrophenol (o-NP, m-NP, and p-NP) are an important class of organic compounds widely employed in industrial fields. Due to their high chemical stability, resistance to natural degradation, and toxicity, NPs pose significant risks to both the environment and human health. Their discriminative detection is of paramount significance; however, it is highly challenging because of the structural and physicochemical similarities of NPs. Herein, we present a fluorine-doped tin oxide (FTO) electrode comodified with a covalent organic framework (COF) membrane and gold nanoparticles (designated as gcFTO) as a powerful sensing platform for the selective detection of NPs. The unique structural characteristics and physicochemical properties of the COF, together with the catalytic activity of comodified gold nanoparticles, precisely modulate the electrochemical redox behaviors of NPs. In particular, the electrochemically reduced intermediates of NPs can be stabilized and accumulated by the COF, thus allowing their detection via anodic stripping analysis of the reduced intermediates. Furthermore, the COF can also modulate the oxidation behaviors of these intermediates, leading to well-separated oxidation peak potentials that enable accurate identification and quantification of each NP. It is also demonstrated that gcFTO exhibits excellent performance in the analysis of NPs in real environmental conditions, including river water and soil. This work highlights the potential of COF-based electrochemical sensors for the selective detection of structurally similar pollutants, providing an efficient and accurate tool for environmental monitoring and industrial quality control.
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