化学
检出限
热液循环
主成分分析
氯
催化作用
色谱法
化学工程
计算机科学
有机化学
工程类
人工智能
作者
Xuechao Xu,Shuwen Wu,Danzhao Guo,Xiangheng Niu
标识
DOI:10.1016/j.aca.2020.02.024
摘要
Chlorophenols (CPs) are known as a class of pollutants posing a great threat to the environment and human health because of their carcinogenesis and teratogenesis, and thus exploring convenient and efficient methods for their detection and identification becomes particularly important. Herein, we report a recyclable colorimetric sensor array according to the oxidase-mimicking catalytic characteristics of Fe3O4@MnOx for the high-performance quantification and differentiation of typical CPs. The core-shell Fe3O4@MnOx prepared by growing oxidase-like MnOx nanoflakes on the surface of magnetic Fe3O4 particles via a hydrothermal process can exhibit excellent catalytic activity to trigger the color reaction of CPs and 4-aminoantipyrine with the participation of O2. By utilizing the Fe3O4@MnOx-catalyzed color reaction, high-sensitivity quantitative analysis of CPs, taking 2-chlorophenol as a model, was realized, providing a detection limit as low as 0.85 μM. Given different chlorine substitution places and numbers in CPs impact the reaction kinetics diversely, a new nanozyme-based colorimetric sensor array was further constructed for the successful differentiation of various CPs with the help of hierarchical cluster analysis and principal component analysis. Accurate double-blind identification of unknown samples using the proposed sensor array was also demonstrated, indicating its reliability for practical practice.
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