Development of Meta-materials-based Nano-biosensor for Biomedical Application
Our lab develops meta-materials-based nano-biosensors that convert subtle biological events into measurable electrical, optical, or mechanical signals. By engineering nanoscale surface structures, strain-controlled materials, and biofunctional interfaces, we aim to enhance molecular recognition and signal transduction for highly sensitive biomedical detection. Our approach integrates nano-corrugated two-dimensional materials, graphene-based field-effect transistor and OECT platforms, and micro/nano-fabricated device architectures to detect clinically relevant biomarkers from small-volume biological samples. These sensing platforms are designed not only for diagnostic applications, but also as model systems for studying biomolecular interactions at the interface between living systems and engineered materials. Through materials innovation, device engineering, and biosignal analysis, this research seeks to advance next-generation biosensors for early disease detection, real-time monitoring, and point-of-care biomedical applications.
Microfluidic Disease-on-a-Chip Platforms for Amyloid Aggregation–Related Neurodegenerative Disease Research
Amyloid aggregation is a central pathological feature in many neurodegenerative diseases, yet its dynamic formation and progression are difficult to study using conventional bulk assays. Our lab develops microfluidic disease-on-a-chip platforms that provide precisely controlled microenvironments for investigating amyloid nucleation, growth, structural evolution, and therapeutic modulation. By combining lab-on-a-chip, lab-on-paper, droplet microfluidics, and perfusable microchannel systems, we can miniaturize and standardize amyloid-related experiments while reducing sample consumption and experimental variability. These platforms allow us to study how amyloid-β, tau, and related protein aggregates interact with biochemical, cellular, and vascular-like microenvironments. Ultimately, this research aims to bridge molecular biophysics, microphysiological disease modeling, and high-throughput screening to support mechanistic studies and therapeutic evaluation for amyloid aggregation–related neurodegenerative diseases.
Multifunctional Microfluidics Chip for Electrospraying Applications
Our lab develops multifunctional microfluidic chips that integrate precise fluid handling with electric-field-driven electrospraying for controlled microdroplet generation, printing, and sample processing. These platforms are designed to manipulate micro- to nanoliter-scale fluids with high spatial and temporal resolution, enabling reproducible droplet formation, phase separation, deposition, and localized delivery of biological or chemical materials. By combining microchannel design, interfacial fluid dynamics, functional materials, and electrospray physics, we aim to overcome limitations of conventional dispensing and spraying systems. The resulting technologies can be applied to analytical chemistry, mass spectrometry sample preparation, biofabrication, microparticle synthesis, biosensing, and drug delivery. This research contributes to the development of compact lab-on-a-chip systems that can perform complex fluidic operations in an automated, scalable, and application-specific manner.
Development of Wearable Electro-textile Biosensors for Real-time Health Monitoring
Wearable biosensors offer a promising route toward continuous, non-invasive, and personalized health monitoring. Our lab develops wearable electro-textile biosensors that combine flexible materials, conductive nanostructures, bioinspired fibers, and soft electronic interfaces for real-time detection of physiological and biochemical signals. These platforms are designed to detect health-related markers from accessible samples such as sweat, breath, or surrounding gases while maintaining mechanical flexibility, wearability, and user comfort. By embedding sensing functions into textile-compatible structures, we aim to create devices that conform to the human body and operate reliably under daily-life conditions. This research connects materials science, flexible electronics, electrochemical/colorimetric sensing, and biomedical signal analysis to support next-generation wearable systems for real-time health monitoring, environmental exposure assessment, and personalized medicine.