<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/11765">
    <title>Repository Collection: null</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/11765</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60514" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/59953" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/59033" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/58234" />
      </rdf:Seq>
    </items>
    <dc:date>2026-08-03T10:24:39Z</dc:date>
  </channel>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60514">
    <title>Highly Conductive and Stretchable Photothermal CuSe Fiber for Wearable Electronics and Implantable Drug Release Systems</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60514</link>
    <description>Title: Highly Conductive and Stretchable Photothermal CuSe Fiber for Wearable Electronics and Implantable Drug Release Systems
Author(s): Yoon, Kukro; Lee, Yukye; Rhee, Sang Ki; Park, Hyeonjoo; Kang, Kyowon; Sang, Mingyu; Kim, Byeonggwan; Lee, Jung Seung; Lee, Jaehong; Lee, Taeyoon
Abstract: Recently, fiber electronics have emerged as promising platforms for next-generation wearable and biomedical systems because of their flexibility, light weight, and softness. Among them, photothermal fibers are particularly attractive for therapeutic applications because of their remote and localized heat generation. However, most existing photothermal fibers rely on near-infrared (NIR)-I-responsive materials, which exhibit shallow tissue penetration and limited efficiency, thereby restricting their applicability in tissue implantation. In this study, a stretchable photothermal copper (II) selenide (CuSe) fiber was fabricated via a simple solution-based synthesis. Owing to the uniformly embedded CuSe nanoplates within the polyurethane matrix, the fabricated CuSe fiber exhibits high electrical conductivity (3.419 S/cm), excellent stretchability (100% tensile strain), and stable heating up to 81.7 degrees C under NIR-II irradiation. When integrated into textiles, the fiber can function as both a reliable strain sensor (gauge factor = 28.88) and a wearable heater (photothermal conversion efficiency = 40.1%). In addition, an implantable NIR-triggered drug release fiber was developed by coating the prepared CuSe fiber with a thermo-responsive hydrogel, achieving photothermal-triggered drug release and exhibiting therapeutic efficacy in mice with lipopolysaccharide-induced sepsis. Overall, the developed NIR-II-responsive CuSe photothermal fiber provides a versatile and clinically relevant platform for next-generation wearable and biomedical systems.</description>
    <dc:date>2026-04-30T15:00:00Z</dc:date>
  </item>
  <item rdf:about="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</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/59953</link>
    <description>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.</description>
    <dc:date>2025-10-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/59033">
    <title>Advances and perspectives in fiber-based electronic devices for next-generation soft systems</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/59033</link>
    <description>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.</description>
    <dc:date>2025-07-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="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</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/58234</link>
    <description>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.</description>
    <dc:date>2024-12-31T15:00:00Z</dc:date>
  </item>
</rdf:RDF>

