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具有增强的类过氧化物酶和类氧化酶活性的超薄 FeOOH 涂层 MnO 纳米酶用于光电化学和比色检测有机磷农药。

Ultrathin-FeOOH-coated MnO nanozyme with enhanced catalase-like and oxidase-like activities for photoelectrochemical and colorimetric detection of organophosphorus pesticides.

机构信息

College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China.

School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.

出版信息

Food Chem. 2024 Jul 1;445:138716. doi: 10.1016/j.foodchem.2024.138716. Epub 2024 Feb 10.

Abstract

Herein, we develop a dual-mode biosensor for photoelectrochemical and colorimetric detection of organophosphate pesticides (OPPs) based on ultrathin-FeOOH-coated MnO (MO@FHO) nanozyme. In this biosensor, OPPs can inhibit the alkaline phosphatase (ALP) activity and hinder the dephosphorylation of l-ascorbic acid-2-phosphate, preventing the decomposition of MO@FHO nanozyme and inducing both a photoelectrochemical (PEC) signal and the colorimetric change. The MO@FHO nanozyme not only possesses an enhanced catalase-like activity to degrade HO for the generation of an improved cathodic photocurrent, but also exhibits an excellent oxidase-like activity to oxidize 3,3,5,5-tetramethylbenzidine with high catalytic efficiency. This biosensor displays a detection limit of 50 pmol/L for the PEC mode and a detection limit of 0.8 nmol/L for the colorimetric mode. Moreover, this biosensor exhibits excellent performance in complex biological matrices, and the smartphone-based visual sensing platform facilitates rapid and sensitive detection of OPPs, holding promising applications in food safety monitoring, and on-site detection.

摘要

在此,我们开发了一种基于超薄-FeOOH 涂层 MnO(MO@FHO)纳米酶的光电化学和比色双模式生物传感器,用于检测有机磷农药(OPPs)。在该生物传感器中,OPPs 可以抑制碱性磷酸酶(ALP)的活性,并阻碍 l-抗坏血酸-2-磷酸的去磷酸化,从而阻止 MO@FHO 纳米酶的分解,并同时引起光电化学(PEC)信号和比色变化。MO@FHO 纳米酶不仅具有增强的类过氧化物酶活性,可降解 HO 以产生增强的阴极光电流,而且还表现出优异的类氧化酶活性,可高效氧化 3,3,5,5-四甲基联苯胺。该生物传感器在 PEC 模式下的检测限为 50 pmol/L,在比色模式下的检测限为 0.8 nmol/L。此外,该生物传感器在复杂的生物基质中表现出优异的性能,基于智能手机的可视化传感平台可实现对 OPPs 的快速灵敏检测,在食品安全监测和现场检测中具有广阔的应用前景。

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