Issue 22, 2025

In situ growth of enzyme-inorganic hybrid nanoflowers on paper strips for the visual detection of saliva-level glucose

Abstract

Enzyme-inorganic hybrid nanoflowers (HNFs) are crucial for non-invasive salivary glucose monitoring in diabetic patients due to their exceptional activity and stability. However, the size mismatch results in the low immobilization efficiency of HNFs through traditional polymeric entrapment, limiting their effectiveness in low salivary glucose level monitoring. Herein, a cellulose paper is immersed in an inorganic solution of CuSO4 and PBS containing glucose oxidase (GOx) and horseradish peroxidase (HRP) for the in situ growth of GOx&HRP@Cu3(PO4)2 HNFs on a paper matrix (HNF-based paper strip). This new approach for the in situ growth of multi-enzyme-inorganic HNFs on a paper matrix significantly improves the immobilization efficiency owing to close contact interaction and enough contact points between the small-sized nucleation sites of the primary crystal and wet cellulose paper. The results show that the sensing time of the HNF-based paper strip (60 s) is eight times faster than that of the traditional enzyme@gel@paper strip (480 s). Moreover, the HNF-based paper strip retains about 80% of its catalytic activity at 70 °C. Density functional theory (DFT) calculations reveal that the metal sites of Cu3(PO4)2 enhance the binding of both H2O2 and the enzyme, thus enhancing the activity and stability of the HNF-based paper strip. Based on these results, the proposed HNF-based paper strip could be a powerful alternative tool for non-invasive glucose monitoring.

Graphical abstract: In situ growth of enzyme-inorganic hybrid nanoflowers on paper strips for the visual detection of saliva-level glucose

Supplementary files

Article information

Article type
Paper
Submitted
02 apr 2025
Accepted
01 maj 2025
First published
20 maj 2025

Nanoscale, 2025,17, 13698-13707

In situ growth of enzyme-inorganic hybrid nanoflowers on paper strips for the visual detection of saliva-level glucose

Z. Zhang, S. Wang, T. Chen, H. Wang and Q. Dou, Nanoscale, 2025, 17, 13698 DOI: 10.1039/D5NR01340B

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