Yonsei University · Engineering
Professor Dohoon Lee's research lab specializes in the design and application of advanced nanomaterials for biomedical and environmental sensing. The lab focuses on developing ordered mesoporous carbons and magnetic nanocomposites as high-performance matrix materials for enzyme-based biosensors, emphasizing enhanced sensitivity and stability. Key research directions include nanostructured material synthesis, biocatalyst immobilization, and the integration of magnetic properties for efficient biosensor operation. The lab also explores applications in point-of-care diagnostics and environmental monitoring using functional nanomaterials.
Figures are computed from collected data and may differ slightly.
Photoluminescence quenching of dextran-conjugated quantum dots (dex-QDs) by gold nanoparticles conjugated with concanavalin A (conA-AuNPs) can be prevented by adding a glycoprotein, which inhibits the association of dex-QDs with conA-AuNPs (see scheme). This phenomenon can be used as an analytical tool for the detection of protein glycosylation. PL=photoluminescence.
http://bio.informatics.indiana.edu/projects/compam/
Recent progress in the synthesis of nano-structured materials having desirable physico-chemical properties has opened the door for the fabrication of more sensitive and stable biosensors. In this chapter, we will describe the use of ordered mesoporous carbons (OMCs) as matrix materials for enzyme-based biosensors. The unique characteristics of OMCs, including large pore size and surface area, enabled a high loading of biocatalyst, which is a major requirement of sensitive biosensors. Another use
Low-light enhancement (LLE) has seen significant advancements over decades, leading to substantial improvements in image quality that even surpass ground truth. However, these advancements have come with a downside as the models grew in size and complexity, losing their lightweight and real-time capabilities crucial for applications like surveillance, autonomous driving, smartphones, and unmanned aerial vehicles (UAVs). To address this challenge, we propose an exceptionally lightweight model wit
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