Visual Detection of COVID-19 from Materials Aspect

Area of Science:

• Biomedical Engineering
• Infectious Disease Diagnostics
• Materials Science

Background:

• Early detection of SARS-CoV-2 is vital for pandemic control, as emphasized by the World Health Organization.
• Current diagnostic methods like RT-PCR and LFIA have limitations, including sample quality issues and procedural errors.
• There is an urgent need for advanced, accurate, ultrafast, and visualized detection technologies to combat the COVID-19 epidemic.

Purpose of the Study:

• To review current methodologies for SARS-CoV-2 diagnosis.
• To introduce recent diagnostic examples utilizing diverse output signals.
• To discuss limitations and future directions in SARS-CoV-2 test development.

Main Methods:

• Literature review of SARS-CoV-2 diagnostic techniques.
• Categorization of methods by output signals (colorimetric, fluorometric, electronic, acoustic).
• Analysis of current diagnostic limitations and future research priorities.

Main Results:

• Summary of established and emerging SARS-CoV-2 diagnostic approaches.
• Presentation of innovative examples showcasing various detection principles.
• Identification of key challenges and opportunities in developing next-generation diagnostics.

Conclusions:

• Advanced materials and technologies are essential for improving SARS-CoV-2 detection accuracy and speed.
• Future research should focus on overcoming current limitations to enable more effective epidemic control.
• Novel diagnostic strategies offer promising avenues for rapid, visualized, and reliable virus detection.