Bio-Inspired Electronic Textile Yarn-Based NO2Sensor Using Amyloid-Graphene Composite

Sang Won Lee, Wonseok Lee, Insu Kim, Dongtak Lee, Dongsung Park, Woong Kim, Jinsung Park, Jeong Hoon Lee, Gyudo Lee, Dae Sung Yoon

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Graphene-based e-textile gas sensors have received significant attention as wearable electronic devices for human healthcare and environmental monitoring. Theoretically, more the attached graphene on the devices, better is the gas-sensing performance. However, it has been hampered by poor adhesion between graphene and textile platforms. Meanwhile, amyloid nanofibrils are reputed for their ability to improve adhesion between materials, including between graphene and microorganisms. Despite that fact, there has been no attempt to apply amyloid nanofibrils to fabricate graphene-based e-textiles. By biomimicking the adhesion ability of amyloid nanofibrils, herein, we developed a graphene-amyloid nanofibril hybrid e-textile yarn (RGO/amyloid nanofibril/CY) for the detection of NO2. Compared to traditional e-textile yarn, the RGO/amyloid nanofibril/CY showed better performance in response time, sensing efficiency, sensitivity, and selectivity for NO2. Last, we suggested a practical use of RGO/amyloid nanofibril/CY combined with a light-emitting diode as a wearable e-textile gas sensor.

Original languageEnglish
Pages (from-to)777-785
Number of pages9
JournalACS Sensors
Volume6
Issue number3
DOIs
Publication statusPublished - 2021 Mar 26

Keywords

  • amyloid nanofibril
  • e-textile sensor
  • gas sensing
  • graphene
  • nitrogen dioxide

ASJC Scopus subject areas

  • Bioengineering
  • Instrumentation
  • Process Chemistry and Technology
  • Fluid Flow and Transfer Processes

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