Rapid, multi-targeted, modular virus sensing platform based on graphene field-effect sensing

Background

The SARS-CoV-2 pandemic underscored the necessity for rapid and precise detection of viruses that share similar symptoms, leading to a strain on healthcare systems. Identifying specific pathogens such as influenza alongside COVID‑19 is crucial for tailored treatment plans.

Technology overview

A novel technology based on liquid-gated graphene field-effect transistors (GFETs) has been developed for the rapid and accurate detection of surface proteins from both influenza and SARS-CoV-2 viruses. This technology employs a quadruple architecture with four onboard GFETs, each func­tionalized individually for specific detection, yet measured collectively. By utilizing antibodies and chemically passivated controls, the device achieves high sensitivity and fault tolerance.

Benefits

• Rapid response: Unlike traditional PCR tests with hours-long turnaround times, the graphene-based technology offers a rapid response time of approximately 10 seconds, even in complex media like saliva.
• Specificity: The technology enables precise differentiation between influenza and COVID-19, aiding in tailored treatment strategies.
• Portability: With the potential for home use, this technology reduces reliance on healthcare professionals and facilitates timely diagnosis.

Application

The developed biosensor platform holds promise for personalized healthcare biosensing, offering a portable and rapid diagnostic tool for simultaneous and differential detection of viruses like COVID-19 and influenza.

Opportunity

The proof-of-concept sensor platform demonstrates ultra-high sensitivity, detecting concentrations as low as 88 zM for COVID-19 and 227 zM for influenza. Its versatility allows repurposing with specific antibodies or receptors for tracking and mitigating future epidemic and pandemic threats. The technology presents a significant advancement over traditional paper-based point-of-care solutions, offering specificity, portability, and ease of use, which could prove invaluable in healthcare settings with high patient volumes and complexities.