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Graphene as an Imaging Platform of Charged Molecules
Author(s) -
Shota Ushiba,
Takao Ono,
Yasushi Kanai,
Kōichi Inoue,
Masahiko Kimura,
Kazuhiko Matsumoto
Publication year - 2018
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.7b02008
Subject(s) - graphene , raman spectroscopy , materials science , graphene nanoribbons , molecule , nanotechnology , field effect transistor , biosensor , resolution (logic) , optoelectronics , transistor , analytical chemistry (journal) , chemical physics , chemistry , optics , physics , organic chemistry , quantum mechanics , voltage , artificial intelligence , chromatography , computer science
Graphene, a single atom layer of carbon atoms, provides a two-dimensional platform with an extremely high sensitivity to charges due to its unique band structure and high surface-to-volume ratio. Graphene field-effect transistor (G-FET) biosensors have, indeed, demonstrated a detection limit of subnanomolar or even subpicomolar. However, in G-FET, signal is averaged throughout the whole channel, so there remains a need to visualize the spatial distribution of target molecules on a single G-FET, to provide further insight into target molecules and/or biological functions. Here, we made use of graphene as an imaging platform of charged molecules via Raman microscopy. Positively (or negatively) charged microbeads with a diameter of 1 μm were dispersed in a buffer solution and were attached on graphene. We found out that Raman peaks of graphene, where positively (or negatively) charged beads contacted, were up-shifted (or down-shifted) significantly, indicating that the carrier density in the graphene was locally modulated by the charged beads and the charge state of the beads was represented by the peak-shift direction. From the peak shift, the change in the carrier density was calculated to be +1.4 × 10 12 cm -2 (or -1.0 × 10 12 cm -2 ). By taking Raman peak-shift images, we visualized distribution of charged molecules on graphene with a spatial resolution below 1 μm. The technique described here overcomes the limitation of spatial resolution of G-FET and provides a new route to graphene-based chemical and biosensors.

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