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Eco-friendly, self-healing, and stretchable graphene hydrogels functionalized with diol oligomer for wearable sensing applications
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Publication Year
2020-10-15
Publisher
Elsevier B.V.
Citation
Sensors and Actuators, B: Chemical, Vol.321
Keyword
Graphene hydrogelSelf-healingSensorsStretchableWearable electronics
Mesh Keyword
Functionalized grapheneGraphene hydrogelsLow concentrationsNitrogen dioxidesQuasi-solid stateRelative humidity rangeSustainable electronicsTemperature changes
All Science Classification Codes (ASJC)
Electronic, Optical and Magnetic MaterialsInstrumentationCondensed Matter PhysicsSurfaces, Coatings and FilmsMetals and AlloysElectrical and Electronic EngineeringMaterials Chemistry
Abstract
Graphene-based materials are of emerging interest; however, low stretchability limits their potential for wearable and sustainable electronics. Thus, this study presents the development of deformable and self-healing graphene hydrogels functionalized with polyurethane diol oligomer for wearable sensing applications. Controlling the loading of the oligomer, acting as a non-toxic plasticizer and providing abundant hydrogen bonds, is crucial to turn the functionalized hydrogels into a quasi-solid state with good stretchability and rapid healing ability (at room temperature). In sensing measurements, resistive-type sensors employing the functionalized hydrogels as the active channel show high responsiveness towards either small temperature changes (ΔT ∼ 0.2 °C near 25 °C) or the existence of ammonia and nitrogen dioxide gases at very low concentrations (0.7–20 ppm and 0.8–3.5 ppm, respectively). Notably, the ammonia detectability of our material is excellent in a wide relative humidity range (0–65 %). Besides, the sensors can be elongated to 30 %, and the healing ability of the hydrogels can recover the sensing capability of damaged sensors (about 90 % in 30 s). Overall, the obtained results suggest that our functionalized graphene hydrogels are promising for developing wearable sensing applications like e-skin and e-nose.
ISSN
0925-4005
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31389
DOI
https://doi.org/10.1016/j.snb.2020.128507
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Type
Article
Funding
We gratefully acknowledge the support of the National Research Foundation of Korea ( 2018H1D3A1A02074733 and 2018R1D1A1B07050008 ) from the Ministry of Science and ICT and the Ministry of Education, Republic of Korea . This work was supported by Ajou University .
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SEO, HYUNGTAK서형탁
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