Issue 38, 2023

Peroxidase-like Cu–Fe bimetal oxide mesoporous nanospheres identified for the efficient recognition of toxic o-aminophenol and bioactive glutathione

Abstract

To strengthen the enzyme-mimetic catalytic activity of the classical transition metal oxide of copper and iron, bimetal Cu–Fe oxide mesoporous nanoparticles (Cu–Fe MNPs) were prepared in one pot under microwave-assisted conditions. The proposed Cu–Fe MNPs possessed a well-distributed mesoporous structure with an average aperture of 3.91 nm and a high BET specific surface area of 197.93 m2 g−1. Their peroxidase-like kinetic parameters (Km/Vmax) toward catalyzing the redox reactions of TMB and H2O2 were 0.013 mM/3.01 × 10−8 M s−1 and 56.58 mM/4.12 × 10−8, respectively. In particular, both toxic o-aminophenol (o-AP) and bioactive glutathione (GSH) could deteriorate their peroxidase-like property with an obvious color change from blue to colorless in the proposed Cu–Fe MNPs-TMB-H2O2 system. Under optimized conditions, Cu–Fe MNPs-TMB-H2O2 showed selective response to o-AP and GSH with quite low detection limits of 1.57 × 10−8 mol L−1 (S/N = 3) and 3.35 × 10−8 mol L−1 (S/N = 3), respectively. When they were applied for the visual monitoring of o-AP and GSH in real aqueous, fruit juice and medicinal samples, the detection recovery (%) was between 96.8–101.4% for o-AP and 97.1–105.8% for GSH. The mechanisms of the synergetic enhancement of the peroxidase-like activity of Cu–Fe MNPs and the selective recognition of o-AP and GSH were investigated in detail.

Graphical abstract: Peroxidase-like Cu–Fe bimetal oxide mesoporous nanospheres identified for the efficient recognition of toxic o-aminophenol and bioactive glutathione

Supplementary files

Article information

Article type
Paper
Submitted
02 Jun 2023
Accepted
30 Aug 2023
First published
31 Aug 2023

J. Mater. Chem. C, 2023,11, 13047-13055

Peroxidase-like Cu–Fe bimetal oxide mesoporous nanospheres identified for the efficient recognition of toxic o-aminophenol and bioactive glutathione

X. Zhou, L. Kong, J. Hao, J. Feng, S. Sun, C. Zhou, Y. Liu, Z. Yan, X. Zhu and L. Hu, J. Mater. Chem. C, 2023, 11, 13047 DOI: 10.1039/D3TC01914D

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