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Biosensing Test-Bed Using Electrochemically Deposited Reduced Graphene Oxide
Sheetal K Bhardwaj1, Premlata Yadav2, Subhasis Ghosh2
1Amity Institute of Nanotechnology, Amity University , Noida, Uttar Pradesh 201303, India.
This study presents a new method for creating stable electrochemically reduced graphene oxide (ERGO) films on indium tin oxide (ITO) for biosensors. These ERGO/ITO surfaces enable sensitive detection of triglycerides, offering a reliable platform for bio-sensing applications.
Area of Science:
- Materials Science
- Electrochemistry
- Biotechnology
Background:
- Biosensor development necessitates stable surfaces for effective bioentity interaction.
- Graphene oxide (GO) and its reduced form (ERGO) offer promising properties for biosensing platforms.
- Indium tin oxide (ITO) is a common transparent conductive substrate.
Purpose of the Study:
- To develop a reproducible and stable electrochemically reduced graphene oxide (ERGO) thin film on ITO-coated glass.
- To characterize the structural and biocompatible properties of the ERGO/ITO surface.
- To demonstrate the utility of the ERGO/ITO surface as a biosensor test bed for triglyceride detection.
Main Methods:
- Formation of ERGO thin films on ITO via chronoamperometric reduction of graphene oxide suspension.
- Characterization of ERGO/ITO surfaces using microscopy and spectroscopy.
- Immobilization of lipase enzyme for triglyceride detection using carbodiimide chemistry.
Main Results:
- Reproducible formation of stable, closely packed ERGO flakes on ITO surfaces.
- Successful lipase immobilization and detection of triglycerides (TBN) with high sensitivity (37 pA mg dL(-1) cm(-2)) and fast response time (12 s).
- Low Michaelis-Menten constant (0.28 mM) indicating high enzyme affinity.
Conclusions:
- A fast, simple, and reliable method for ERGO electrode fabrication is established.
- The developed ERGO/ITO platform demonstrates significant potential for sensitive and efficient biosensing.
- This technique can be widely applied for detecting various clinically relevant bioentities.
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