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基于TiO-g-CN@AuNPs阻抗适配体传感器的阿莫西林超灵敏检测:制备、优化及机理

Ultrasensitive detection of amoxicillin by TiO-g-CN@AuNPs impedimetric aptasensor: Fabrication, optimization, and mechanism.

作者信息

Song Jialing, Huang Manhong, Jiang Nan, Zheng Shengyang, Mu Tianwei, Meng Lijun, Liu Yanbiao, Liu Jianyun, Chen Gang

机构信息

College of Environmental Science and Engineering, State Environmental Protection Engineering Center for Pollution Treatment and Control in Textile Industry, Donghua University, Shanghai 201620, China.

College of Environmental Science and Engineering, State Environmental Protection Engineering Center for Pollution Treatment and Control in Textile Industry, Donghua University, Shanghai 201620, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China.

出版信息

J Hazard Mater. 2020 Jun 5;391:122024. doi: 10.1016/j.jhazmat.2020.122024. Epub 2020 Jan 27.

Abstract

The trace amount of antibiotics in water can be enriched in the human body through the food chain, leading to extremely harmful effects on people's health. Therefore, it is urgent to develop new methods to detect trace pollutants in various aquatic phase. An analytical method utilizing the synergistic effect between the sensing strategy and catalytic material with high electron transfer capacity can be used to detect trace antibiotics. In this paper, an ultrasensitive impedimetric aptasensor was fabricated by the synergy between functionalized materials (TiO-g-CN) and gold nanoparticles (Au NPs). Due to the formation of the 'Au-S' bond between the thiol-aptamer and Au NPs, amoxicillin and the aptamer can be specifically recognized on the modified glassy carbon electrode (GCE), and the impedance signal increased rapidly. Meanwhile, the Box-Behnken Design (BBD) strategy was used to reduce the random error of the experiment, so that the prepared aptasensor has the highest sensitivity to the detection of amoxicillin. Under optimized conditions, the sensor successfully achieved the detection of amoxicillin in the ultra-low detection range (0.5-3 nM) and reached the ultra-low detection limit (0.2 nM). The detection strategy has good selectivity, reproducibility, and stability, and thus has good potential to detect amoxicillin in actual wastewater.

摘要

水中痕量抗生素可通过食物链在人体内富集,对人体健康造成极大危害。因此,迫切需要开发新方法来检测各水相中痕量污染物。一种利用传感策略与具有高电子转移能力的催化材料之间协同效应的分析方法可用于检测痕量抗生素。本文通过功能化材料(TiO-g-CN)与金纳米颗粒(Au NPs)之间的协同作用制备了一种超灵敏阻抗适配体传感器。由于硫醇化适配体与Au NPs之间形成了“Au-S”键,阿莫西林与适配体可在修饰玻碳电极(GCE)上被特异性识别,阻抗信号迅速增加。同时,采用Box-Behnken设计(BBD)策略减少实验随机误差,使得制备的适配体传感器对阿莫西林检测具有最高灵敏度。在优化条件下,该传感器成功实现了超低检测范围(0.5 - 3 nM)内阿莫西林的检测,并达到了超低检测限(0.2 nM)。该检测策略具有良好的选择性、重现性和稳定性,因此在实际废水中检测阿莫西林具有良好潜力。

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