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NiO Nanoflowers for Non-Enzymatic Amperometric Detection of Glucose
Published on: December 30, 2025
Highly stable and sensitive glucose biosensor based on covalently assembled high density Au nanostructures.
Peng Si1, Palanisamy Kannan1, Longhua Guo1
1School of Chemical and Biomedical Engineering, Nanyang Technological University, 70 Nanyang Drive, Singapore 637457, Singapore.
Biosensors & Bioelectronics
|April 2, 2011
Summary
A novel glucose biosensor utilizes gold nanoparticles (AuNPs) and multi-walled carbon nanotubes (MWCNTs) for enhanced stability and sensitivity. This nanohybrid material offers a promising platform for enzyme-based electrochemical biosensors.
Area of Science:
- Electrochemistry
- Nanomaterials Science
- Biosensor Technology
Background:
- Development of sensitive and stable biosensors is crucial for accurate glucose monitoring.
- Nanohybrid materials offer unique properties for electrochemical applications.
- Enzyme immobilization is key for biosensor functionality.
Purpose of the Study:
- To develop a highly stable and sensitive glucose biosensor.
- To utilize gold nanoparticles (AuNPs) and multi-walled carbon nanotubes (MWCNTs) nanohybrid materials.
- To investigate the layer-by-layer (LBL) self-assembly for constructing the biosensing platform.
Main Methods:
- Layer-by-layer (LBL) self-assembly of AuNPs and MWCNTs.
- Immobilization of glucose oxidase (GOx) enzyme.
- Characterization using FE-SEM, CV, and EIS.
- Electrochemical detection via CV and amperometry.
Main Results:
- Five layers of AuNPs/MWCNT assembly achieved maximum particle density.
- The biosensor exhibited excellent electrocatalytic activity for glucose oxidation.
- Wide linear range (20 μM to 10 mM) with high sensitivity (19.27 μA mM⁻¹ cm⁻²).
- Low detection limit (2.3 μM) and fast response time (within 3 s).
Conclusions:
- The AuNPs decorated MWCNT nanohybrid material is highly effective for biosensor construction.
- The developed biosensor demonstrates superior performance characteristics.
- This nanohybrid platform shows significant potential for enzyme-based electrochemical biosensors.
