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Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection
Published on: February 1, 2022
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Portable glucose sensing analysis based on laser-induced graphene composite electrode.
Zhaokang Zhang1, Lu Huang2, Yiting Chen2
1College of Chemical Engineering, Fuzhou University Fuzhou 350108 China.
RSC Advances
|January 4, 2024
Summary
A new portable glucose sensor uses a laser-induced graphene composite electrode for sensitive detection. This flexible biosensor shows potential for point-of-care applications in health and safety monitoring.
Area of Science:
- Electrochemistry
- Materials Science
- Biosensors
Background:
- Development of sensitive and portable glucose sensors is crucial for diabetes management and point-of-care diagnostics.
- Existing glucose sensing technologies face challenges in sensitivity, stability, and portability.
Purpose of the Study:
- To develop a portable electrochemical glucose sensor utilizing a novel laser-induced graphene (LIG) composite electrode.
- To enhance the sensor's performance through the integration of poly(3,4-ethylene dioxythiophene) (PEDOT) and gold nanoparticles (Au NPs).
Main Methods:
- Fabrication of a flexible graphene electrode via laser-induced graphene (LIG) technology.
- Potentiostatic deposition of PEDOT and Au NPs onto the LIG electrode to form a composite.
- Immobilization of glucose oxidase (GOx) using glutaraldehyde (GA) to create the sensing interface.
- Chronoamperometry was used for glucose concentration detection.
Main Results:
- The LIG/PEDOT/Au/GOx sensor detected glucose in a concentration range of 0.5 × 10-5 to 2.5 × 10-3 mol L-1.
- Achieved high sensitivity of 341.67 μA mM-1 cm-2 and an ultra-low limit of detection of 0.2 × 10-5 mol L-1 (S/N = 3).
- Demonstrated excellent sensitivity, stability, and selectivity for biological fluid samples.
Conclusions:
- The developed LIG-based composite electrode offers a user-friendly platform for portable glucose sensing.
- The sensor's performance indicates suitability for integration into smartphone-based detection systems for point-of-care applications.
- Potential applications include environmental monitoring, public health surveillance, and food safety analysis.

