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Updated: Jul 28, 2025

Using a Pan-Viral Microarray Assay Virochip to Screen Clinical Samples for Viral Pathogens
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Paper-based diagnostic chips for viral detection.

Srividya Oruganti1, Sai Lakshmi Gundimeda1, Viswanath Buddolla1

  • 1Dr. Buddolla's Institute of Life Sciences, Tirupati 517506, Andhra Pradesh, India.

Clinica Chimica Acta; International Journal of Clinical Chemistry
|June 1, 2023
PubMed
Summary
This summary is machine-generated.

Paper-based diagnostic chips offer a rapid, accurate, and eco-friendly solution for detecting viral diseases. These point-of-care tests are ideal for personalized healthcare and resource-limited settings.

Keywords:
BiosensorsHuman virusesPaper-based devicesTraditional methods

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Area of Science:

  • Biomedical Engineering
  • Infectious Disease Diagnostics
  • Point-of-Care Testing

Background:

  • Viral diseases present significant global health risks, necessitating effective diagnostic tools.
  • Traditional diagnostic methods often have limitations in speed, cost, and accessibility.
  • Paper-based diagnostic chips are emerging as a promising alternative.

Purpose of the Study:

  • To review recent advancements in paper-based diagnostic chips for virus detection.
  • To highlight the importance of improved viral pathogen identification methods.
  • To discuss the challenges and future prospects of paper-based diagnostics.

Main Methods:

  • Review of recent literature on paper-based diagnostic chips for viral detection.
  • Analysis of traditional viral detection techniques and their limitations.
  • Exploration of the advantages of paper-based diagnostics in various settings.

Main Results:

  • Paper-based diagnostic chips offer speed, accuracy, and cost-effectiveness.
  • These chips are environmentally friendly and suitable for point-of-care applications.
  • They provide accessible solutions for remote and underdeveloped regions.

Conclusions:

  • Paper-based diagnostic chips represent a significant innovation in viral disease diagnosis.
  • Their ease of use and low cost make them ideal for personalized healthcare and resource-constrained environments.
  • Further development is crucial to overcome existing challenges and expand their application in virus detection.