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Bergmeyer Glucose Quantification for Microbiological Samples
Published on: January 17, 2025
Rapid and Sensitive Glucose Detection Using Recombinant Corn Mn Peroxidase and Advanced Voltammetric Methods
Anahita Izadyar1, Ezekiel McCain1, Elizabeth E Hood2
1Department of Chemistry and Physics, Arkansas State University, P.O. Box 419, Jonesboro, AR 72467, USA.
A novel disposable electrochemical biosensor offers sensitive and selective glucose detection using gold-modified electrodes and specific enzymes. This rapid, interference-resistant sensor is ideal for point-of-care and food monitoring.
Area of Science:
- Electrochemistry
- Biosensors
- Biotechnology
Background:
- Glucose detection is crucial for medical diagnostics and food safety.
- Existing methods often lack sensitivity, selectivity, or portability.
- Development of novel biosensors is needed for improved glucose monitoring.
Purpose of the Study:
- To develop a novel disposable electrochemical biosensor for sensitive and selective glucose detection.
- To integrate recombinant corn-derived manganese peroxidase with other components for enhanced sensor performance.
- To evaluate the sensor's performance using square wave voltammetry (SWV) and linear sweep voltammetry (LSV).
Main Methods:
- Fabrication of gold-modified screen-printed electrodes.
- Integration of recombinant corn-derived manganese peroxidase, glucose oxidase, bovine serum albumin, and gold nanoparticles.
- Electrochemical analysis using square wave voltammetry (SWV) and linear sweep voltammetry (LSV).
Main Results:
- Linear sweep voltammetry (LSV) detected glucose in the range of 0.001-6.5 mM (R² = 0.9913; LOD = 0.50 µM).
- Square wave voltammetry (SWV) detected glucose in the range of 0.0006-6.5 mM (R² = 0.998; LOD = 0.29 µM).
- The biosensor exhibited excellent selectivity against common electroactive species and rapid response times.
Conclusions:
- The developed disposable electrochemical biosensor provides highly sensitive and selective glucose detection.
- The sensor's performance characteristics make it suitable for point-of-care diagnostics and food quality monitoring.
- The integration of specific enzymes and nanomaterials enhances sensor stability and signal transduction.
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