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High-response room-temperature NO2 gas sensor fabricated with thermally reduced graphene oxide-coated commercial cotton fabric.
Jung, Won Taek; Jang, Hyun-Seok; Lee, Sang Moon; Hong, Won G; Bae, Young Jin; Lee, Hyo Seon; Kim, Byung Hoon.
Affiliation
  • Jung WT; Department of Physics, Incheon National University, Incheon, 22012, Republic of Korea.
  • Jang HS; Department of Physics, Incheon National University, Incheon, 22012, Republic of Korea.
  • Lee SM; Research Center for Materials Analysis, Korea Basic Science Institute, Daejeon, 34133, Republic of Korea.
  • Hong WG; Research Center for Materials Analysis, Korea Basic Science Institute, Daejeon, 34133, Republic of Korea.
  • Bae YJ; Department of Physics, Incheon National University, Incheon, 22012, Republic of Korea.
  • Lee HS; Department of Physics, Incheon National University, Incheon, 22012, Republic of Korea.
  • Kim BH; Department of Physics, Incheon National University, Incheon, 22012, Republic of Korea.
Heliyon ; 10(2): e24425, 2024 Jan 30.
Article in En | MEDLINE | ID: mdl-38293488
ABSTRACT
Electronic textile-based gas sensors with a high response for NO2 gas were fabricated using reduced graphene oxide (rGO)-coated commercial cotton fabric (rGOC). Graphene oxide (GO) was coated on cotton fabric by simply dipping the cotton into a GO solution. To investigate the relationship between the degree of reduction and the sensing response, the GO-coated fabrics were thermally reduced at various temperatures (190, 200, 300, and 400 °C). The change in the amount of oxygen functional groups on the rGOCs was observed by x-ray photoelectron spectroscopy, Raman spectroscopy, and x-ray diffraction patterns. The maximum sensing response of 45.90 % at 10 ppm of NO2 gas at room temperature was exhibited by the rGOC treated at 190 °C, which was the lowest heat-treatment temperature. The high response comes from the greater amount of oxygen functional groups compared to other rGOC samples, and the tubular structure of the cotton.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Heliyon Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Heliyon Year: 2024 Document type: Article