Interferon-γ detection in point of care diagnostics: Short review

Manjoosha Yerrapragada R1, Dileep Mampallil1

  • 1Indian Institute of Science Education and Research Tirupati, Mangalam P O, Tirupati, 517507, India.

Talanta
|April 15, 2022
PubMed

Insights

This review explores biosensing methods for detecting interferon-gamma (IFN-γ), a key indicator of diseases like tuberculosis. It details optical, electrochemical, and mechanical sensors utilizing antibodies and aptamers for accurate detection.

Area of Science:

  • Biomedical Engineering
  • Immunology
  • Analytical Chemistry

Background:

  • Interferon-gamma (IFN-γ) is a crucial cytokine produced by immune cells.
  • Elevated IFN-γ levels serve as early biomarkers for diseases including tuberculosis and autoimmune disorders.
  • Accurate and sensitive detection of IFN-γ is vital for early disease diagnosis and management.

Purpose of the Study:

  • To review and summarize various sensing strategies for interferon-gamma (IFN-γ) detection.
  • To discuss the application of biorecognition molecules like antibodies and aptamers in IFN-γ sensing platforms.
  • To compare different surface functionalization techniques employed in biosensor development.

Main Methods:

  • Exploration of sensing principles including optical, electrochemical, and mechanical methods.
  • Detailed examination of biorecognition elements (antibodies, aptamers) for specific IFN-γ binding.
  • Analysis of surface modification strategies to enhance sensor performance and stability.

Main Results:

  • Various biosensing approaches offer sensitive and specific detection of IFN-γ.
  • Antibodies and aptamers provide effective biorecognition for IFN-γ targets.
  • Surface functionalization significantly impacts sensor efficiency and reliability.

Conclusions:

  • Biosensors based on optical, electrochemical, and mechanical principles are effective for IFN-γ detection.
  • The reviewed sensing strategies can be adapted for detecting other disease biomarkers.
  • Advancements in biosensor technology hold promise for improved diagnostics.