https://scholar.dgist.ac.kr/handle/20.500.11750/11765 2026-04-04T13:37:01Z https://scholar.dgist.ac.kr/handle/20.500.11750/59953 Title: All-textile, chip-less, battery-free body sensor networks enabled by a concentric multi-node hub antenna architecture Author(s): Lee, Junyeong; Lee, Mugeun; Kim, Jinho; Kim, Hwajoong; Yu, Jongbin; Kim, Namjung; Lee, Jaehong Abstract: Textile-based, chip-less, wireless body sensor networks (WBANs) offer continuous, wireless monitoring of physiological signals from passive sensors distributed across body locations, representing a promising solution for daily wearable sensing. Here, we introduce an all-textile, chip-less, and battery-free textile-based body sensor network (tBSN) capable of simultaneously monitoring multiple passive sensors across the body. The tBSN is seamlessly integrated into conventional textiles via digital embroidery of flexible conductive fiber electrodes. Single-node tBSN exhibits robust wireless transmission over interconnect up to 40 cm and demonstrates durability under various conditions. By arranging multiple single-node sensor networks into a concentric multi-hub antenna architecture, we extend the system to a multi-node tBSN, enabling simultaneous wireless monitoring of distributed passive sensors within a single frequency scan. A wearable garment incorporating the multi-node tBSN tracked biomechanical signals from the vastus lateralis and knee joint during motion, highlighting its significant potential for personalized rehabilitation, fitness-assistive technologies, and advanced gait analysis. 2025-10-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/59033 Title: Advances and perspectives in fiber-based electronic devices for next-generation soft systems Author(s): Kim, Hwajoong; Kim, Daehyeon; Kim, Jinho; Lee, Yukye; Shin, Minchang; Kim, Jimin; Bossuyt, Fransiska M.; Lee, Gun-Hee; Lee, Byeongmoon; Taylor, William R.; Lee, Jaehong Abstract: Fiber-based electronic devices (FEDs) exhibit high flexibility, low weight, and excellent integrability into wearable, implantable, and robotic systems. Recent advances have enabled applications in sensing, energy harvesting, and storage, and active functions. Despite this progress, challenges such as mechanical fatigue, interfacial delamination, and signal instability remain. This review offers key challenges and perspectives on the future of FEDs as interactive, autonomous platforms for next-generation electronics in healthcare, robotics, and beyond. 2025-07-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/58234 Title: Smart Bioelectronic Nanomesh Face Masks with Permeability and Flexibility for Monitoring Cortisol in Saliva Author(s): Cho, Sungjoon; Won, Chihyeong; Kwon, Chaebeen; Kim, Hwajoong; Lee, Sanghyeon; Yoon, Kukro; Lee, Minkyu; Kim, Jinho; Lee, Mugeun; Lee, Seungmin; Lee, Jinhan; Song, Enming; Mei, Yongfeng; Lee, Jaehong; Lee, Taeyoon Abstract: Bioelectronic face masks can easily collect biomarkers in saliva, in which free cortisol is abundant. However, conventional bioelectronic face masks involve significant challenges in terms of permeability and inhalation due to their nonpermeable film-type structure. Herein, we introduce a flexible and permeable nanomesh-based wearable biosensor designed for bioelectronic face masks that monitor cortisol levels. The diameter of the nanofiber matrix has a range of 200 to 500 nm and offers outstanding flexibility (2% resistance change at a bending radius of 2 mm), reliability (0.3% resistance change at a bending radius of 5 mm after 1000 bending cycles), and permeability (116.91 g m-2 h-1 at 18 degrees C with 40% humidity, which is 10 times higher compared with film) based on the nanoporous structure. We evaluated the electrochemical responses of functionalized interdigitated electrodes on a flexible and permeable poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) nanomesh. Our nanomesh cortisol biosensors demonstrated exceptional sensitivity to cortisol, even at low concentrations, with a detection limit as low as 10 pM. Furthermore, we measured cortisol in clinical samples, such as artificial saliva and human saliva, using nanomesh-based bioelectronic face masks. This study highlights the potential for further applications of bioelectronic face masks for detecting numerous biomarkers. 2024-12-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/57399 Title: Bioelectronic Sutures with Electrochemical pH-Sensing for Long-Term Monitoring of the Wound Healing Progress Author(s): Kim, Hwajoong; Kim, Jung Hyun; Jeong, Minji; Lee, Dongwook; Kim, Jinho; Lee, Mugeun; Kim, Gain; Kim, Jayoung; Lee, Jung Seung; Lee, Jaehong Abstract: The physiological pH level at wound sites is one of the fundamental factors for monitoring wound conditions in clinical practice. To continuously assess the wound conditions, a variety of bioelectronic pH sensors are extensively developed. However, despite significant advances in bioelectronics for wound monitoring, the application of existing bioelectronic devices, primarily designed as bandages or patches, remains challenging for monitoring pH levels in deep wounds. Here, a flexible pH-sensing suture is introduced that can be simultaneously used as both a precise pH sensor for wound monitoring and a conventional medical suture. The electrochemical pH-sensing suture comprises Au nanoparticle-based flexible electrodes functionalized with polyaniline for the working electrode and Ag/AgCl for the reference electrode, seamlessly integrated onto a standard medical suturing thread. This dual-function sensing suture offers a reliable and high sensitivity of 58.9 mV pH−1, negligible hysteresis, high stability, and excellent selectivity in pH sensing. The biocompatibility of the sensing suture is systematically verified for its in vivo use. To demonstrate the capabilities of the pH-sensing suture, it is successfully applied to an incision and chronic wound model of mouse to perform continuous and accurate monitoring of the inflammation and healing progress of the wound throughout the healing period. © 2024 Wiley-VCH GmbH. 2024-09-30T15:00:00Z