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Updated: Sep 10, 2025

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Bacterial Detection & Identification Using Electrochemical Sensors
Published on: April 23, 2013
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Signal Amplification to Improve Electrochemical Biosensing for Infectious Diseases.
Aarti Gupta1, Shriyansh Srivastava2, Pougang Golmei2
1Amity Institute of Pharmacy, Amity University, Chhattisgarh, India.
Biotechnology and Applied Biochemistry
|August 21, 2025
Summary
Electrochemical biosensors offer rapid infectious disease detection. This review details signal amplification strategies, including enzymatic, nanoparticle, and label-free methods, to enhance sensitivity for diseases like COVID-19 and HIV.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Infectious Disease Diagnostics
Background:
- Infectious disease detection and monitoring are crucial for public health.
- Electrochemical biosensors are vital tools for rapid and sensitive disease diagnosis.
- Improving biosensor sensitivity is key to effective disease surveillance.
Purpose of the Study:
- To review signal amplification strategies for electrochemical biosensors in infectious disease detection.
- To explore various amplification techniques and their applications.
- To address challenges and future directions in the field.
Main Methods:
- Review of enzymatic signal amplification (endonuclease, nucleotidyl transferase, DT-diaphorase, alkaline phosphatase).
- Exploration of nanoparticle-based amplification (gold nanoparticles, quantum dots, magnetic nanoparticles).
- Examination of label-free techniques (electrochemical impedance spectroscopy, surface plasmon resonance) and hybrid methods.
Main Results:
- Enzymatic methods applied to tuberculosis, HIV, and COVID-19 detection.
- Nanoparticle methods used for hepatitis B, Zika, and Ebola virus detection.
- Label-free and hybrid methods demonstrated for dengue, influenza, malaria, and bacterial infections.
Conclusions:
- Diverse signal amplification strategies significantly enhance electrochemical biosensor performance for infectious diseases.
- Addressing point-of-care needs and interferences is critical for clinical translation.
- Future research should focus on multiplexed assays and smartphone integration for advanced diagnostics.

