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

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 CuSO<sub>4</sub> and PBS containing glucose oxidase (GOx) and horseradish peroxidase (HRP) for the <i>in situ</i> growth of GOx&HRP@Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> HNFs on a paper matrix (HNF-based paper strip). This new approach for the <i>in situ</i> 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 Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> enhance the binding of both H<sub>2</sub>O<sub>2</sub> 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.

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Publication Details

Journal
Nanoscale
Published
2025-01-01
DOI
https://doi.org/10.1039/d5nr01340b
Citations
1
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.67

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article

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

Hui Wang, Shiwen Wang, Qian Dou, Zi-Feng Zhang et al.
1 citations
Nanoscale
Biosensors and Analytical Detection
0.67
article

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

Hui Wang, Shiwen Wang, Qian Dou, Zi-Feng Zhang, Tingjun Chen
article en
1 citations

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 CuSO<sub>4</sub> and PBS containing glucose oxidase (GOx) and horseradish peroxidase (HRP) for the <i>in situ</i> growth of GOx&HRP@Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> HNFs on a paper matrix (HNF-based paper strip). This new approach for the <i>in situ</i> 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 Cu<sub>3</sub>(PO<sub>4</sub>)<sub>2</sub> enhance the binding of both H<sub>2</sub>O<sub>2</sub> 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.

NanoscaleVol. 17(22)
Hunan University (CN), Chinese Academy of Sciences (CN), National Center for Nanoscience and Technology (CN), University of Chinese Academy of Sciences (CN), Huanghe Science and Technology College (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 32%
Biosensors and Analytical Detection
0.67
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