Highly Conductive and Flexible Dopamine-Graphene Hybrid Electronic Textile Yarn for Sensitive and Selective NO2 Detection

Sang Won Lee, Hyo Gi Jung, Insu Kim, Dongtak Lee, Woong Kim, Sang Hun Kim, Jong Heun Lee, Jinsung Park, Jeong Hoon Lee, Gyudo Lee, Dae Sung Yoon

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Graphene-based electronic textile (e-textile) gas sensors have been developed for detecting hazardous NO2 gas. For the e-textile gas sensor, electrical conductivity is a critical factor because it directly affects its sensitivity. To obtain a highly conductive e-textile, biomolecules have been used for gluing the graphene to the textile surface, though there remain areas to improve, such as poor conductivity and flexibility. Herein, we have developed a dopamine-graphene hybrid electronic textile yarn (DGY) where the dopamine is used as a bio-inspired adhesive to attach graphene to the surface of yarns. The DGY shows improved electrical conductivity (∼40 times) compared to conventional graphene-based e-textile yarns with no glue. Moreover, it exhibited improved sensing performance in terms of short response time (∼2 min), high sensitivity (0.02 μA/ppm), and selectivity toward NO2. The mechanical flexibility and durability of the DGY were examined through a 1000-cycle bending test. For a practical application, the DGY was attempted to detect the NOx emitted from vehicles, including gasoline, diesel, and fuel cell electric vehicles. Our results demonstrated that the DGYs-as a graphene-based e-textile gas sensor for detecting NO2-are simple to fabricate, cheap, disposable, and mechanically stable.

Original languageEnglish
Pages (from-to)46629-46638
Number of pages10
JournalACS applied materials & interfaces
Issue number41
Publication statusPublished - 2020 Oct 14


  • E-textile gas sensor
  • dopamine
  • flexible device
  • graphene
  • nitrogen dioxide

ASJC Scopus subject areas

  • Materials Science(all)


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