Issue 15, 2025

A neural network-shaped composite of α-MnO2 with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples

Abstract

A neural network-shaped composite fusing α-MnO2 and nitrogen-doped graphene (N@Gr/α-MnO2) was synthesized via a hydrothermal method. The resulting composite demonstrates enhanced electrocatalytic activity for hydrogen peroxide (H2O2) compared with each single component. The electrochemical sensor developed with N@Gr/α-MnO2 demonstrates a robust linear relationship over the concentration ranges of 0.05 μmol L−1 to 0.625 mmol L−1 and 0.77 to 8.27 mmol L−1, as evaluated by chronoamperometry (CA). The limit of detection (LOD) for H2O2 was determined to be 1.4 × 10−8 mol L−1 (S/N = 3), with a sensitivity of 1466.1 μA (mmol L−1)−1 cm−2. Furthermore, the sensor has been successfully utilized to detect trace amounts of H2O2 in human urine samples, thereby providing valuable insights and strategies for the development of more sensitive electrochemical sensors.

Graphical abstract: A neural network-shaped composite of α-MnO2 with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples

Supplementary files

Article information

Article type
Paper
Submitted
24 Mar 2025
Accepted
18 Jun 2025
First published
23 Jun 2025

Analyst, 2025,150, 3481-3490

A neural network-shaped composite of α-MnO2 with N-doped graphene for electrocatalytic reduction of hydrogen peroxide in human urine samples

H. Song, L. Huo, Y. Li, X. Liu, C. He, B. Wu, L. Wang, L. Zhu, J. Liu, B. Wang, J. Meng and Z. Cheng, Analyst, 2025, 150, 3481 DOI: 10.1039/D5AN00336A

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