Event Date
Event Date
We present a chemiluminescence vertical flow assay (CL-VFA) that achieves high-sensitivity detection of cardiac troponin I (cTnI), a gold standard biomarker for diagnosing myocardial infarction. The CL-VFA system integrates a chemiluminescent paper-based sensor, a portable and low-cost Raspberry Pi-based reader, and a deep learning-powered concentration inference algorithm. This system can rapidly measure cTnI from a 50 µL serum sample within 25 min, reaching a detection limit of 0.16 pg/mL and covering a wide dynamic range of six orders-of-magnitude in concentration. The CL-VFA exceeds the sensitivity of commercial benchtop analyzers by an order-of-magnitude while maintaining a compact and lightweight design. In a blinded clinical study using 66 patient serum samples, the CL-VFA showed a strong correlation with results from an FDA-cleared analyzer, highlighting its reliability and robustness. The platform's affordability, ease-of-use, and high analytical performance make it ideal for use in under-resourced settings, offering a transformative step toward democratizing high-sensitivity diagnostics.
Presenter
Gyeo-Re Han
UCLA Samueli School of Engineering (United States)
Dr. Gyeo-Re Han is a postdoctoral researcher in the Department of Electrical and Computer Engineering at the University of California, Los Angeles (Prof. Aydogan Ozcan’s research group). He received a B.S. and M.S. in Biomedical Engineering from Gachon University and a Ph.D. in Chemistry from the Gwangju Institute of Science and Technology (GIST), Republic of Korea. Dr. Han specializes in developing high-performance diagnostic assays and advanced biosensing platforms, integrating deep learning and micro/nanotechnologies with point-of-care biosensors for digital health applications. He has co-authored 21 peer-reviewed publications, and his seven patents have been transferred to the in-vitro diagnostics industry.