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

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초록

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 (similar to 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 (similar to 2 min), high sensitivity (0.02 mu A/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 NO(x )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.

키워드

grapheneE-textile gas sensorflexible devicedopaminenitrogen dioxideGAS SENSORSFUNCTIONALIZED GRAPHENESURFACE-CHEMISTRYNITROGEN-DIOXIDEHIGH-PERFORMANCEWEARABLE GASOXIDECARBONIMMOBILIZATIONNANOPARTICLES
제목
Highly Conductive and Flexible Dopamine-Graphene Hybrid Electronic Textile Yarn for Sensitive and Selective NO2 Detection
저자
Lee, Sang WonJung, Hyo GiKim, InsuLee, DongtakKim, WoongKim, Sang HunLee, Jong-HeunPark, JinsungLee, Jeong HoonLee, GyudoYoon, Dae Sung
DOI
10.1021/acsami.0c11435
발행일
2020-10-14
유형
Article
저널명
ACS Applied Materials & Interfaces
12
41
페이지
46629 ~ 46638