A novel ratiometric imprinted electrochemical sensing bisphenol A using MIP with alkenyl ferrocene as a functional monomer and COF-derived porous carbon as a sensitive element

分子印迹聚合物 双酚A 二茂铁 聚合 单体 检出限 电化学 电化学气体传感器 化学 碳糊电极 沉淀聚合 双酚 自由基聚合 化学工程 材料科学 选择性 有机化学 电极 循环伏安法 色谱法 物理化学 聚合物 催化作用 工程类 环氧树脂
作者
Jian Zhang,Yanbo Zeng,Yiwen Yang,Haiqing Liu,Zhidong Chen,Longhua Guo,Lei Li
出处
期刊:Electrochimica Acta [Elsevier BV]
卷期号:475: 143672-143672 被引量:17
标识
DOI:10.1016/j.electacta.2023.143672
摘要

Free radical polymerization is widely used for preparing molecularly imprinted polymers (MIPs) by copolymerizing alkenyl functional monomers and cross-linkers with the template molecules. However, these monomers based electrochemical sensors can only construct single-signal electrochemical sensors, making them vulnerable to various interferences. Therefore, this work aims to construct a ratiometric molecularly imprinted (RMI) electrochemical sensor by free radical polymerization. First, 3-butenoic acid (ferrocenyl) methyl ester (BA-Fc) as an alkenyl ferrocene was synthesized using hydroxymethylferrocene as a reactant. A new ferrocene-based molecularly imprinted polymer (Fc-MIP) was then synthesized by free radical polymerization with BA-Fc as functional monomer. To enhance the electrical conductivity of the covalent organic framework (COF), COF-derived porous carbon (COF-PC) was synthesized through pyrolysis. A RMI electrochemical sensor was then constructed to detect bisphenol A (BPA). For this construction, COF-PC and Fc-MIP served as the sensitive and selective elements, respectively. The oxidation peaks of BPA and Fc were utilized for the response and internal reference signals, respectively. This sensor displayed a linear ratiometric signal (IBPA/IFc) in response to BPA concentrations from 0.1 to 10 µM with detection limit of 0.03 µM. The relative standard deviation of the non-ratiometric and ratiometric sensors was 6.71% and 3.10%, respectively, demonstrating the advantage of the RMI sensor. This proposed sensor, exhibiting satisfactory reproducibility, sensitivity, and selectivity, was successfully applied in detecting BPA in samples of industrial wastewater, soil, and plastic bottles.
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