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.