Issue 7, 2024

Micromotor-assisted bifunctional platform for efficient detection and removal of aniline

Abstract

Studies on combining the catalytic activity of nanomaterials with self-propelled micro/nanomotors for determining and degrading contaminants in the water environment are rapidly growing, especially in constructing cost-effective platforms that can simultaneously achieve both functions. Herein, we report a novel bifunctional magnetic micromotor (CA-MnO2@Co–N/C) with greatly enhanced micromixing performance, as well as improved detection and degradation capabilities for aniline in water. The CA-MnO2@Co–N/C micromotors were composed of a bioderived carbon matrix, ZIF-67-derived magnetic Co–N/C, and MnO2 nanosheets. The micromotors not only exhibited excellent peroxidase-like activity (POD-like activity) but also showed superior Fenton-like catalytic activity. The micromotors achieved self-propulsion motion by generating O2 bubbles from the catalytic decomposition of H2O2, with the highest speed of 398.88 μm s−1 in 7 wt% H2O2. The CA-MnO2@Co–N/C micromotors exhibited sensitive detection and efficient removal toward aniline in water, which was attributed to the synergistic effect between hierarchical structure, citric acid modification and bubble-driven propulsion. The limit of detection (LOD) for aniline was 0.185 μM, and the highest removal efficiency of aniline reached 83% in 180 min based on our dynamic catalytic reaction platform. In comparison to traditional micro/nanomaterials, the simple fabrication process, self-propulsion performance, and excellent catalytic activity of CA-MnO2@Co–N/C micromotors provided a promising strategy for a dynamic environmental monitoring and remediation platform.

Graphical abstract: Micromotor-assisted bifunctional platform for efficient detection and removal of aniline

Supplementary files

Article information

Article type
Paper
Submitted
05 Փտվ 2024
Accepted
25 Մյս 2024
First published
28 Մյս 2024

Environ. Sci.: Nano, 2024,11, 3162-3177

Micromotor-assisted bifunctional platform for efficient detection and removal of aniline

N. Xing, Y. Lyu, W. Zhao, Z. Lan, M. Zuo and J. Li, Environ. Sci.: Nano, 2024, 11, 3162 DOI: 10.1039/D4EN00097H

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