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Charge transfer in graphene/polymer interfaces for CO2 detection

Title
Charge transfer in graphene/polymer interfaces for CO2 detection
Authors
Son, MyungwooPak, YusinChee, Sang-SooAuxilia, Francis MalarKim, KihyeunLee, Byung-KeeLee, SungeunKang, Sun KilLee, ChaedeokLee, Jeong SooKim, Ki KangJang, Yun HeeLee, Byoung HunJung, Gun-YoungHam, Moon-Ho
DGIST Authors
Jang, Yun Hee
Issue Date
ACCEPT
Citation
Nano Research, 1-8
Type
Article
Article Type
Article in Press
Keywords
BlendingCarbonCarbon DioxideCharge TransferCharge Transfer ProcessElectron Doping EffectsElectronic DeviceFunctional MaterialsGrapheneGraphene DevicesGraphene-Based SensorsMaximum SensitivityMoleculesPhotonic DevicesPolyethylene GlycolPolyethylene GlycolsPolyethyleneiminePolyethyleneimine (Pei)PolyethylenesPresence Of WaterProtonated Amine
ISSN
1998-0124
Abstract
Understanding charge transfer processes between graphene and functional materials is crucial from the perspectives of fundamental sciences and potential applications, including electronic devices, photonic devices, and sensors. In this study, we present the charge transfer behavior of graphene and amine-rich polyethyleneimine (PEI) upon CO2 exposure, which was significantly improved after introduction of hygroscopic polyethylene glycol (PEG) in humid air. By blending PEI and PEG, the number of protonated amine groups in PEI was remarkably increased in the presence of water molecules, leading to a strong electron doping effect on graphene. The presence of CO2 gas resulted in a large change in the resistance of PEI/PEG-co-functionalized graphene because of the dramatic reduction of said doping effect, reaching a maximum sensitivity of 32% at 5,000 ppm CO2 and an applied bias of 0.1 V in air with 60% relative humidity at room temperature. This charge transfer correlation will facilitate the development of portable graphene-based sensors for real-time gas detection and the extension of the applications of graphene-based electronic and photonic devices. [Figure not available: see fulltext.] © 2017 Tsinghua University Press and Springer-Verlag GmbH Germany
URI
http://hdl.handle.net/20.500.11750/4701
DOI
10.1007/s12274-017-1857-z
Publisher
Tsinghua University Press
Related Researcher
  • Author Jang, Yun Hee CMMM Lab(Curious Minds’ Molecular Modeling Laboratory)
  • Research Interests Multiscale molecular modeling (quantum mechanics calculation; molecular dynamics simulation) : Supercomputer-assisted molecular-level understanding of materials and their chemistry; which leads to rational design of high-performance organic-inorganic-hybrid materials for clean and renewable energy as well as low-energy-consumption electronic devices
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Collection:
ETC1. Journal Articles


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