Graphene-based electronic textile sheet for highly sensitive detection of NO2 and NH3
•A highly conductive and sensitive GES successfully detect NO2 and NH3 gas molecules.•The GES exhibited a highly sensitive, low detection limit, repeatability, and selectivity to both toxic gases.•2D GES possess significant advantages for utilization in various wearable devices, compared to 1D e-tex...
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Published in | Sensors and actuators. B, Chemical Vol. 345; p. 130361 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Lausanne
Elsevier B.V
15.10.2021
Elsevier Science Ltd |
Subjects | |
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Abstract | •A highly conductive and sensitive GES successfully detect NO2 and NH3 gas molecules.•The GES exhibited a highly sensitive, low detection limit, repeatability, and selectivity to both toxic gases.•2D GES possess significant advantages for utilization in various wearable devices, compared to 1D e-textile yarn.•The GES could potentially be a next-generation 2D e-textile sensor for detecting toxic environmental gases and monitoring human health.
Graphene-based electronic textiles (e-textiles) have generally fabricated with one-dimensional (1D) textile (e.g., yarn) to serve as wearable devices or smart textiles for detecting hazardous gases. For an improved sensing performance, flexible 1D e-textile yarns can be woven and patterned to form two-dimensional (2D) sheets; however, these sheets suffer from batch-to-batch variations while manufacturing by hand. To address these issues, we fabricated a graphene-based electronic sheet (GES) on a polyester sheet with a uniform grid fishnet pattern. The 2D GES exhibited high conductance (∼7 μS) and sensitivity toward NO2 (0.34 μA/ppm) and NH3 (0.16 μA/ppm), which are indicative of a significantly improved performance as compared to that of the 1D e-textile yarn. Furthermore, the 2D GES not only exhibited an improved NO2 sensing response that was approximately three times higher than that of the 1D e-textile yarn but also showed other advantages, such as being 19 times lighter and 5 times thinner per unit area. Moreover, we confirmed that the GES enabled the detection of not only NO2, which is emitted from vehicle exhausts but also the NH3 present in the atmosphere and artificial breath. We also found that the GES possessed high mechanical flexibility to endure a 1,000-cycle bending test. These results suggest that the GES could be a next-generation 2D wearable gas sensor for detecting toxic environmental gases and monitoring health by exhalation. |
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AbstractList | •A highly conductive and sensitive GES successfully detect NO2 and NH3 gas molecules.•The GES exhibited a highly sensitive, low detection limit, repeatability, and selectivity to both toxic gases.•2D GES possess significant advantages for utilization in various wearable devices, compared to 1D e-textile yarn.•The GES could potentially be a next-generation 2D e-textile sensor for detecting toxic environmental gases and monitoring human health.
Graphene-based electronic textiles (e-textiles) have generally fabricated with one-dimensional (1D) textile (e.g., yarn) to serve as wearable devices or smart textiles for detecting hazardous gases. For an improved sensing performance, flexible 1D e-textile yarns can be woven and patterned to form two-dimensional (2D) sheets; however, these sheets suffer from batch-to-batch variations while manufacturing by hand. To address these issues, we fabricated a graphene-based electronic sheet (GES) on a polyester sheet with a uniform grid fishnet pattern. The 2D GES exhibited high conductance (∼7 μS) and sensitivity toward NO2 (0.34 μA/ppm) and NH3 (0.16 μA/ppm), which are indicative of a significantly improved performance as compared to that of the 1D e-textile yarn. Furthermore, the 2D GES not only exhibited an improved NO2 sensing response that was approximately three times higher than that of the 1D e-textile yarn but also showed other advantages, such as being 19 times lighter and 5 times thinner per unit area. Moreover, we confirmed that the GES enabled the detection of not only NO2, which is emitted from vehicle exhausts but also the NH3 present in the atmosphere and artificial breath. We also found that the GES possessed high mechanical flexibility to endure a 1,000-cycle bending test. These results suggest that the GES could be a next-generation 2D wearable gas sensor for detecting toxic environmental gases and monitoring health by exhalation. Graphene-based electronic textiles (e-textiles) have generally fabricated with one-dimensional (1D) textile (e.g., yarn) to serve as wearable devices or smart textiles for detecting hazardous gases. For an improved sensing performance, flexible 1D e-textile yarns can be woven and patterned to form two-dimensional (2D) sheets; however, these sheets suffer from batch-to-batch variations while manufacturing by hand. To address these issues, we fabricated a graphene-based electronic sheet (GES) on a polyester sheet with a uniform grid fishnet pattern. The 2D GES exhibited high conductance (∼7 μS) and sensitivity toward NO2 (0.34 μA/ppm) and NH3 (0.16 μA/ppm), which are indicative of a significantly improved performance as compared to that of the 1D e-textile yarn. Furthermore, the 2D GES not only exhibited an improved NO2 sensing response that was approximately three times higher than that of the 1D e-textile yarn but also showed other advantages, such as being 19 times lighter and 5 times thinner per unit area. Moreover, we confirmed that the GES enabled the detection of not only NO2, which is emitted from vehicle exhausts but also the NH3 present in the atmosphere and artificial breath. We also found that the GES possessed high mechanical flexibility to endure a 1,000-cycle bending test. These results suggest that the GES could be a next-generation 2D wearable gas sensor for detecting toxic environmental gases and monitoring health by exhalation. |
ArticleNumber | 130361 |
Author | Lee, Dongtak Kim, Insu Cheong, Da Yeon Park, Dongsung Kim, Yonghwan Jung, Hyo Gi Hwang, Kyo Seon Yoon, Dae Sung Jang, Jae Won Lee, Gyudo Lee, Sang Won |
Author_xml | – sequence: 1 givenname: Sang Won surname: Lee fullname: Lee, Sang Won organization: School of Biomedical Engineering, Korea University, Seoul, 02841, South Korea – sequence: 2 givenname: Hyo Gi surname: Jung fullname: Jung, Hyo Gi organization: School of Biomedical Engineering, Korea University, Seoul, 02841, South Korea – sequence: 3 givenname: Jae Won surname: Jang fullname: Jang, Jae Won organization: School of Biomedical Engineering, Korea University, Seoul, 02841, South Korea – sequence: 4 givenname: Dongsung surname: Park fullname: Park, Dongsung organization: School of Biomedical Engineering, Korea University, Seoul, 02841, South Korea – sequence: 5 givenname: Dongtak surname: Lee fullname: Lee, Dongtak organization: School of Biomedical Engineering, Korea University, Seoul, 02841, South Korea – sequence: 6 givenname: Insu surname: Kim fullname: Kim, Insu organization: Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan, 44919, South Korea – sequence: 7 givenname: Yonghwan surname: Kim fullname: Kim, Yonghwan organization: School of Biomedical Engineering, Korea University, Seoul, 02841, South Korea – sequence: 8 givenname: Da Yeon surname: Cheong fullname: Cheong, Da Yeon organization: Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, South Korea – sequence: 9 givenname: Kyo Seon surname: Hwang fullname: Hwang, Kyo Seon organization: Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, Seoul, 02453, South Korea – sequence: 10 givenname: Gyudo surname: Lee fullname: Lee, Gyudo email: lkd0807@korea.ac.kr organization: Department of Biotechnology and Bioinformatics, Korea University, Sejong, 30019, South Korea – sequence: 11 givenname: Dae Sung surname: Yoon fullname: Yoon, Dae Sung email: dsyoon@korea.ac.kr organization: School of Biomedical Engineering, Korea University, Seoul, 02841, South Korea |
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Copyright | 2021 Elsevier B.V. Copyright Elsevier Science Ltd. Oct 15, 2021 |
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Keywords | Ammonia Electronic textile sheet Nitrogen dioxide Graphene Polyester sheet Flexible gas sensor |
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Snippet | •A highly conductive and sensitive GES successfully detect NO2 and NH3 gas molecules.•The GES exhibited a highly sensitive, low detection limit, repeatability,... Graphene-based electronic textiles (e-textiles) have generally fabricated with one-dimensional (1D) textile (e.g., yarn) to serve as wearable devices or smart... |
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SubjectTerms | Ammonia Electronic textile sheet Exhalation Flexible gas sensor Gas sensors Graphene Nitrogen dioxide Polyester sheet Sheets Smart materials Textiles Vehicle emissions Wearable technology Yarn Yarns |
Title | Graphene-based electronic textile sheet for highly sensitive detection of NO2 and NH3 |
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