Affiliations 

  • 1 Electronics Technical Department, Southern Technical University, Basra, Iraq
  • 2 Department of Computer Engineering, College of Computer Science and engineering, University of Hail, Hail, Kingdom of Saudi Arabia
  • 3 Department of computer science Applied College, University of Najran, Najran, Kingdom of Saudi Arabia
  • 4 King Khalid University-Mohyel College for Science and Arts, Abha, Kingdom of Saudi Arabia
  • 5 Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia
  • 6 Faculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia
Biotechnol Appl Biochem, 2024 Apr;71(2):429-445.
PMID: 38238920 DOI: 10.1002/bab.2550

Abstract

Infectious diseases, caused by pathogenic microorganisms such as bacteria, viruses, parasites, or fungi, are crucial for efficient disease management, reducing morbidity and mortality rates and controlling disease spread. Traditional laboratory-based diagnostic methods face challenges such as high costs, time consumption, and a lack of trained personnel in resource-poor settings. Diagnostic biosensors have gained momentum as a potential solution, offering advantages such as low cost, high sensitivity, ease of use, and portability. Nanobiosensors are a promising tool for detecting and diagnosing infectious diseases such as coronavirus disease, human immunodeficiency virus, and hepatitis. These sensors use nanostructured carbon nanotubes, graphene, and nanoparticles to detect specific biomarkers or pathogens. They operate through mechanisms like the lateral flow test platform, where a sample containing the biomarker or pathogen is applied to a test strip. If present, the sample binds to specific recognition probes on the strip, indicating a positive result. This binding event is visualized through a colored line. This review discusses the importance, benefits, and potential of nanobiosensors in detecting infectious diseases.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.