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Autonomous self-propelled reduced graphene oxide hydrogel-CuO@rGO micromotors for high-efficiency removal of organic dye pollutant

Liu, Zengze ; Zheng, Ziwei ; Liu, Yanlin ; Yang, Xiaoqiu ; Chen, Yangwei and Tan, Fang LU (2025) In Journal of Contaminant Hydrology 274.
Abstract

This study featured about the synthesis of graphene oxide hydrogel-CuO@reduced graphene oxide (rGH-CuO@rGO) micromotors with core-shell structure via an ultrasonication-assisted chemical precipitation method and their application for catalytic dye degradation. The micromotors were comprehensively characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), spectroscopic techniques (Fourier transform infrared (FTIR), Raman), surface area measurement (BET), and X-ray photoelectron spectroscopy (XPS) to determine their microstructure, composition, and chemical states. Degradation performance for methylene blue (MB) was evaluated under varying conditions: reaction time (0–120 min),... (More)

This study featured about the synthesis of graphene oxide hydrogel-CuO@reduced graphene oxide (rGH-CuO@rGO) micromotors with core-shell structure via an ultrasonication-assisted chemical precipitation method and their application for catalytic dye degradation. The micromotors were comprehensively characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), spectroscopic techniques (Fourier transform infrared (FTIR), Raman), surface area measurement (BET), and X-ray photoelectron spectroscopy (XPS) to determine their microstructure, composition, and chemical states. Degradation performance for methylene blue (MB) was evaluated under varying conditions: reaction time (0–120 min), peroxymonosulfate (PMS) concentration (0–5 g·L−1), pH (3–8), quantity of micromotors (12–24), and MB concentration (5–100 mg·L−1). The removal rate of MB was achieved over 90 % within 120 min at pH 8. The micromotors demonstrated excellent catalytic efficiency, reusability and stability over four cycles. In the dual oxidant system (H₂O₂/PMS) the micromotors exhibited effective self-propulsion and stable MB removal. The generation of hydroxyl (•OH) and sulfate (•SO₄) free radicals in the system was confirmed by electron paramagnetic resonance spectrometer (EPR). Ultra High Performance Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry (UHPLC-QTOF/MS) was used to identify the degradation intermediates, and the possible MB degradation pathways were proposed. Moreover, the micromotors showed satisfactory performance in removing mixed dye wastewater and phenolic compound. Additionally, the low ecotoxicity of the micromotors was demonstrated by cytotoxicity assessment. This study provided a novel and valuable route to synthesizing self-driving micromotors with potential extensive applications in environmental remediation.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Core-shell, CuO, Micromotor, Organic dyes, Oxidative degradation, rGO, Self-propulsion
in
Journal of Contaminant Hydrology
volume
274
article number
104650
publisher
Elsevier
external identifiers
  • scopus:105008146737
  • pmid:40532439
ISSN
0169-7722
DOI
10.1016/j.jconhyd.2025.104650
language
English
LU publication?
yes
id
075b4d15-0a24-471d-a3aa-49537ca2bd94
date added to LUP
2025-10-29 15:41:32
date last changed
2025-11-26 18:02:47
@article{075b4d15-0a24-471d-a3aa-49537ca2bd94,
  abstract     = {{<p>This study featured about the synthesis of graphene oxide hydrogel-CuO@reduced graphene oxide (rGH-CuO@rGO) micromotors with core-shell structure via an ultrasonication-assisted chemical precipitation method and their application for catalytic dye degradation. The micromotors were comprehensively characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), spectroscopic techniques (Fourier transform infrared (FTIR), Raman), surface area measurement (BET), and X-ray photoelectron spectroscopy (XPS) to determine their microstructure, composition, and chemical states. Degradation performance for methylene blue (MB) was evaluated under varying conditions: reaction time (0–120 min), peroxymonosulfate (PMS) concentration (0–5 g·L<sup>−1</sup>), pH (3–8), quantity of micromotors (12–24), and MB concentration (5–100 mg·L<sup>−1</sup>). The removal rate of MB was achieved over 90 % within 120 min at pH 8. The micromotors demonstrated excellent catalytic efficiency, reusability and stability over four cycles. In the dual oxidant system (H₂O₂/PMS) the micromotors exhibited effective self-propulsion and stable MB removal. The generation of hydroxyl (•OH) and sulfate (•SO₄<sup>−</sup>) free radicals in the system was confirmed by electron paramagnetic resonance spectrometer (EPR). Ultra High Performance Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry (UHPLC-QTOF/MS) was used to identify the degradation intermediates, and the possible MB degradation pathways were proposed. Moreover, the micromotors showed satisfactory performance in removing mixed dye wastewater and phenolic compound. Additionally, the low ecotoxicity of the micromotors was demonstrated by cytotoxicity assessment. This study provided a novel and valuable route to synthesizing self-driving micromotors with potential extensive applications in environmental remediation.</p>}},
  author       = {{Liu, Zengze and Zheng, Ziwei and Liu, Yanlin and Yang, Xiaoqiu and Chen, Yangwei and Tan, Fang}},
  issn         = {{0169-7722}},
  keywords     = {{Core-shell; CuO; Micromotor; Organic dyes; Oxidative degradation; rGO; Self-propulsion}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Contaminant Hydrology}},
  title        = {{Autonomous self-propelled reduced graphene oxide hydrogel-CuO@rGO micromotors for high-efficiency removal of organic dye pollutant}},
  url          = {{http://dx.doi.org/10.1016/j.jconhyd.2025.104650}},
  doi          = {{10.1016/j.jconhyd.2025.104650}},
  volume       = {{274}},
  year         = {{2025}},
}