The Experts below are selected from a list of 7548 Experts worldwide ranked by ideXlab platform
Gyudo Lee - One of the best experts on this subject based on the ideXlab platform.
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bio inspired electronic Textile Yarn based no2 sensor using amyloid graphene composite
ACS Sensors, 2020Co-Authors: Sang Won Lee, Jinsung Park, Wonseok Lee, Insu Kim, Dongtak Lee, Dongsung Park, Woong Kim, Jeong Hoon Lee, Gyudo Lee, Dae Sung YoonAbstract: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.
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highly conductive and flexible dopamine graphene hybrid electronic Textile Yarn for sensitive and selective no2 detection
ACS Applied Materials & Interfaces, 2020Co-Authors: Sang Won Lee, Hyo Gi Jung, Jinsung Park, Insu Kim, Dongtak Lee, Woong Kim, Jeong Hoon Lee, Sang Hun Kim, Jong Heun Lee, Gyudo LeeAbstract: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.
Hyo Gi Jung - One of the best experts on this subject based on the ideXlab platform.
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highly conductive and flexible dopamine graphene hybrid electronic Textile Yarn for sensitive and selective no2 detection
ACS Applied Materials & Interfaces, 2020Co-Authors: Sang Won Lee, Hyo Gi Jung, Jinsung Park, Insu Kim, Dongtak Lee, Woong Kim, Jeong Hoon Lee, Sang Hun Kim, Jong Heun Lee, Gyudo LeeAbstract: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.
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a highly conductive and flexible dopamine graphene hybrid electronic Textile Yarn for sensitive and selective no2 detection
ACS Applied Materials & Interfaces, 2020Co-Authors: Hyo Gi Jung, Jinsung Park, Dae Sung YoonAbstract: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 ...
Jinsung Park - One of the best experts on this subject based on the ideXlab platform.
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bio inspired electronic Textile Yarn based no2 sensor using amyloid graphene composite
ACS Sensors, 2020Co-Authors: Sang Won Lee, Jinsung Park, Wonseok Lee, Insu Kim, Dongtak Lee, Dongsung Park, Woong Kim, Jeong Hoon Lee, Gyudo Lee, Dae Sung YoonAbstract: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.
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highly conductive and flexible dopamine graphene hybrid electronic Textile Yarn for sensitive and selective no2 detection
ACS Applied Materials & Interfaces, 2020Co-Authors: Sang Won Lee, Hyo Gi Jung, Jinsung Park, Insu Kim, Dongtak Lee, Woong Kim, Jeong Hoon Lee, Sang Hun Kim, Jong Heun Lee, Gyudo LeeAbstract: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.
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a highly conductive and flexible dopamine graphene hybrid electronic Textile Yarn for sensitive and selective no2 detection
ACS Applied Materials & Interfaces, 2020Co-Authors: Hyo Gi Jung, Jinsung Park, Dae Sung YoonAbstract: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 ...
Dae Sung Yoon - One of the best experts on this subject based on the ideXlab platform.
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bio inspired electronic Textile Yarn based no2 sensor using amyloid graphene composite
ACS Sensors, 2020Co-Authors: Sang Won Lee, Jinsung Park, Wonseok Lee, Insu Kim, Dongtak Lee, Dongsung Park, Woong Kim, Jeong Hoon Lee, Gyudo Lee, Dae Sung YoonAbstract: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.
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a highly conductive and flexible dopamine graphene hybrid electronic Textile Yarn for sensitive and selective no2 detection
ACS Applied Materials & Interfaces, 2020Co-Authors: Hyo Gi Jung, Jinsung Park, Dae Sung YoonAbstract: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 ...
Sang Won Lee - One of the best experts on this subject based on the ideXlab platform.
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bio inspired electronic Textile Yarn based no2 sensor using amyloid graphene composite
ACS Sensors, 2020Co-Authors: Sang Won Lee, Jinsung Park, Wonseok Lee, Insu Kim, Dongtak Lee, Dongsung Park, Woong Kim, Jeong Hoon Lee, Gyudo Lee, Dae Sung YoonAbstract: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.
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highly conductive and flexible dopamine graphene hybrid electronic Textile Yarn for sensitive and selective no2 detection
ACS Applied Materials & Interfaces, 2020Co-Authors: Sang Won Lee, Hyo Gi Jung, Jinsung Park, Insu Kim, Dongtak Lee, Woong Kim, Jeong Hoon Lee, Sang Hun Kim, Jong Heun Lee, Gyudo LeeAbstract: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.