High-Sensitivity Enzymatic Glucose Sensor Based on ZnO Urchin-like Nanostructure Modified with Fe3O4 Magnetic
Qi Mao1, Weixuan Jing1, Weizhuo Gao1
1State Key Laboratory for Manufacturing Systems Engineering, International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology, Xi'an Jiaotong University, Xi'an 710049, China.
A novel glucose sensor uses magnetic iron oxide nanoparticles on ZnO nanoflowers for enhanced electron transfer and sensitivity. This efficient biosensor shows improved performance and stability for glucose detection.
Area of Science:
- Nanomaterials Science
- Biosensor Technology
- Electrochemistry
Background:
- Development of sensitive and selective glucose sensors is crucial for diabetes management.
- Existing enzymatic glucose sensors face challenges in sensitivity, stability, and interference.
Purpose of the Study:
- To fabricate a novel enzymatic glucose sensor with enhanced performance.
- To investigate the synergistic effects of iron oxide magnetic nanoparticles (Fe3O4MNPs) and ZnO nanoflowers (ZnONFs) on sensor efficiency.
Main Methods:
- Urchin-like ZnO nanoflowers (ZnONFs) were synthesized on a flexible PET substrate.
- Fe3O4MNPs were deposited onto ZnONFs via drop-coating.
- Glucose oxidase (GOx) was immobilized on the modified substrate.
- Electrochemical performance was evaluated using cyclic voltammetry and amperometry.
Main Results:
- The Fe3O4MNPs significantly promoted electron transfer and H2O2 hydrolysis, enhancing catalytic efficiency.
- The fabricated sensor achieved a high sensitivity of 4.52 μA·mM⁻¹·cm⁻², a 7.93-fold improvement over sensors without Fe3O4MNPs.
- The sensor demonstrated excellent anti-interference capabilities against common biological compounds and salts, and maintained 80% performance after 20 reuses.
Conclusions:
- The integration of Fe3O4MNPs with ZnONFs offers a promising strategy for developing highly sensitive and stable enzymatic glucose biosensors.
- The optimized electron transfer and catalytic efficiency contribute to the superior performance of the proposed glucose sensor.
- This approach provides valuable insights for enhancing the performance of other enzymatic biosensor systems.
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