Revolutionary AI-driven SERS platform for rapid, ultra-sensitive detection of viable tobamovirus in seeds, optimizing seed health and quarantine processes. Combines plasmonic biosensors with machine learning for highly specific and label-free diagnostics.
The AI-powered SERS platform offers a groundbreaking approach for detecting viable tobamovirus in seeds, enhancing seed health and quarantine procedures. By integrating plasmonic SERS biosensors with advanced AI analysis, this solution enables rapid, ultra-sensitive, and specific detection of infectious viruses, overcoming the limitations of traditional methods like PCR and immunoassays.
Currently at TRL 3, the platform has been demonstrated in a lab setting. Future steps include method optimization and validation with real seed samples in collaboration with experts in plasmonic SERS biosensors, aiming for pilot-scale deployment.
Sejong University is a comprehensive private research university in Seoul, South Korea, with a practical, industry-facing culture. Corporate partners engage through collaborative labs and contract research facilitated by an industry-academic cooperation foundation that streamlines agreements and compliance. A central Seoul location puts talent next to major technology and manufacturing hubs, enabling internships, executive education, and fast site-to-lab collaboration. Research is backed by competitive national programs, including the National Research Foundation of Korea and government ministries, and a dedicated technology transfer office manages IP, licensing, and startup support.