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Super-Nernstian pH Sensor Based on Anomalous Charge Transfer Doping of Defect-Engineered Graphene
  • Jung, Su Ho ;
  • Seo, Young Min ;
  • Gu, Taejun ;
  • Jang, Wonseok ;
  • Kang, Seog Gyun ;
  • Hyeon, Yuhwan ;
  • Hyun, Sang Hwa ;
  • Lee, Jae Hyun ;
  • Whang, Dongmok
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Publication Year
2021-01-13
Publisher
American Chemical Society
Citation
Nano Letters, Vol.21, pp.34-42
Keyword
charge transferdefect engineeringgrapheneNernst limitpH sensor
Mesh Keyword
Charge transfer dopingGrain boundary densitiesGraphene layersNanocrystallinesNegative shiftOptimized conditionsTheoretical limitsUltra sensitives
All Science Classification Codes (ASJC)
BioengineeringChemistry (all)Materials Science (all)Condensed Matter PhysicsMechanical Engineering
Abstract
The conventional pH sensor based on the graphene ion-sensitive field-effect transistor (Gr-ISFET), which operates with an electrostatic gating at the solution-graphene interface, cannot have a pH sensitivity above the Nernst limit (∼59 mV/pH). However, for accurate detection of the pH levels of an aqueous solution, an ultrasensitive pH sensor that can exceed the theoretical limit is required. In this study, a novel Gr-ISFET-based pH sensor is fabricated using proton-permeable defect-engineered graphene. The nanocrystalline graphene (nc-Gr) with numerous grain boundaries allows protons to penetrate the graphene layer and interact with the underlying pH-dependent charge-transfer dopant layer. We analyze the pH sensitivity of nc-Gr ISFETs by adjusting the grain boundary density of graphene and the functional group (OH-, NH2-, CH3-) on the SiO2 surface, confirming an unusual negative shift of the charge-neutral point (CNP) as the pH of the solution increases and a super-Nernstian pH response (approximately -140 mV/pH) under optimized conditions.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31692
DOI
https://doi.org/10.1021/acs.nanolett.0c02259
Fulltext

Type
Article
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2020R1A4A4079397 and 2017R1A2B2010663).
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