Highly sensitive and selective uric acid biosensor based on RF sputtered NiO thin film.
Kashima Arora1, Monika Tomar, Vinay Gupta
1Department of Physics and Astrophysics, University of Delhi, Delhi 110007, India.
Biosensors & Bioelectronics
|October 15, 2011
Summary
This study developed a highly sensitive and selective uric acid biosensor using a nickel oxide (NiO) thin film matrix. The biosensor demonstrates excellent performance for detecting uric acid, paving the way for improved diagnostic tools.
Area of Science:
- Electrochemistry
- Biosensor Technology
- Materials Science
Background:
- Uric acid detection is crucial for diagnosing conditions like gout and Lesch-Nyhan syndrome.
- Developing sensitive and selective biosensors is essential for accurate uric acid monitoring.
- Nickel oxide (NiO) thin films offer promising properties for biosensor applications.
Purpose of the Study:
- To investigate the potential of RF sputtered NiO thin film as a matrix for a uric acid biosensor.
- To immobilize uricase enzyme onto the NiO matrix for enhanced biosensing capabilities.
- To evaluate the sensing performance of the developed uric acid biosensor.
Main Methods:
- Fabrication of NiO thin films on platinum-coated glass substrates.
- Immobilization of uricase enzyme onto the NiO surface via physical adsorption.
- Electrochemical analysis using cyclic voltammetry.
- Spectroscopic analysis using UV-visible spectroscopy.
Main Results:
- The bioelectrode (uricase/NiO/Pt/Ti/glass) exhibited high sensitivity (1278.48 μA/mM) and good linearity (0.05-1.0 mM).
- A low Michaelis-Menten constant (0.17 mM) indicated high affinity of uricase for uric acid.
- The NiO matrix provided excellent electron transport and nanoporous morphology for effective enzyme loading.
Conclusions:
- RF sputtered NiO thin films are suitable matrices for highly sensitive and selective uric acid biosensors.
- The developed bioelectrode demonstrates efficient uric acid sensing capabilities.
- The NiO matrix enhances enzyme loading and electron transport, leading to improved biosensor performance.
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