A neural network-shaped composite of α-MnO<sub>2</sub> with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples
A neural network-shaped composite fusing α-MnO<sub>2</sub> and nitrogen-doped graphene (N@Gr/α-MnO<sub>2</sub>) was synthesized <i>via</i> a hydrothermal method. The resulting composite demonstrates enhanced electrocatalytic activity for hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) compared with each single component. The electrochemical sensor developed with N@Gr/α-MnO<sub>2</sub> demonstrates a robust linear relationship over the concentration ranges of 0.05 μmol L<sup>-1</sup> to 0.625 mmol L<sup>-1</sup> and 0.77 to 8.27 mmol L<sup>-1</sup>, as evaluated by chronoamperometry (CA). The limit of detection (LOD) for H<sub>2</sub>O<sub>2</sub> was determined to be 1.4 × 10<sup>-8</sup> mol L<sup>-1</sup> (S/N = 3), with a sensitivity of 1466.1 μA (mmol L<sup>-1</sup>)<sup>-1</sup> cm<sup>-2</sup>. Furthermore, the sensor has been successfully utilized to detect trace amounts of H<sub>2</sub>O<sub>2</sub> in human urine samples, thereby providing valuable insights and strategies for the development of more sensitive electrochemical sensors.
Authors
- Li-Hua Huo (ORCID: https://orcid.org/0000-0003-1725-0148)
- Chunxiao He
- Zhenyu Cheng (ORCID: https://orcid.org/0000-0003-0177-9135)
- Lipeng Wang (ORCID: https://orcid.org/0009-0008-3503-2949)
- Bobo Wang (ORCID: https://orcid.org/0000-0001-9083-7565)
- Yingying Li (ORCID: https://orcid.org/0000-0002-6811-590X)
- Haiyan Song (ORCID: https://orcid.org/0000-0002-8370-6943)
- Li−Na Zhu (ORCID: https://orcid.org/0000-0002-6396-1592)
- Jiaqi Liu (ORCID: https://orcid.org/0000-0003-1963-003X)
- Xuefen Liu (ORCID: https://orcid.org/0000-0002-9136-8104)
- Bowan Wu
- Jingke Meng
Institutions
- Longdong University (CN)
- Mudanjiang Medical University (CN)
- Heilongjiang University (CN)
Publication Details
- Journal
- The Analyst
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5an00336a
- Citations
- 2
- Primary Topic
- Electrochemical sensors and biosensors
- Type
- article
- Field-Weighted Citation Impact
- 1.46