POS4-1243
Super-adaptive Metastructured Adhesive Bioelectronics with Conductively Soften Suction Cups for Highly Deformable Biosurfaces
Topic
S4. Colloids, Interfaces, and Molecular Assemblies for Functional Soft Materials
When and Where
Sep 29, 2026
08:30 - 09:30
Room 301 (Grand Ballroom)
Session Chairs
Hae Jung SON
Boseok KANG
Presenter(s)
Gyun Ro Kang (Sungkyunkwan University (SKKU))
Co-Author(s)
Abstract
Skin-integrated wearable bioelectronics offer immense potential for continuous health monitoring, diagnosis, and personalized therapy. However, developing robustly repeatable and permeable adhesive interfaces with omnidirectional stretchability that can adapt to continuously deforming skin surfaces remains a critical challenge and often results in issues such as delamination, interfacial void formation, and signal degradation. This study presents a highly adaptable bioelectronic device with a repeatable, robust, and biocompatible adhesive interface designed for dynamic wet skin surfaces. The device integrates a conductively softened, double-layered octopus-inspired polymer nanocomposite adhesive with a kirigami metastructure (cs-OIA_k). The cs-OIA_k achieves skin-like softness, electrical stability (ΔR/R0 < 10 over 10,000 cycles), and omnidirectional stretchability (up to 200%) to accommodate skin deformation. Additionally, the hierarchical structural design of cs-OIA_k enables robust and repeatable adhesion (>10,000 cycles) and vertical alignment to ensure reversible adhesion to dynamically deforming surfaces (−30% to 100%, depending on skin thickness, anatomical site, and age) without skin irritation. Based on these characteristics, the highly adaptable skin-adhesive bioelectronics enable reliable electrocardiogram (ECG) and electromyogram (EMG) signal measurements even during shoulder movements with extreme skin deformation. This approach, which integrates a soft conductive polymer nanocomposite with a multi-axially stretchable, robustly repeatable, permeable, and biocompatible adhesive structure, provides new insights into the development of advanced wearable systems and human–machine interfaces.
This study was published in: Advanced Science, 12(25), 2570189 (2025)
This study was published in: Advanced Science, 12(25), 2570189 (2025)
