This title appears in the Scientific Report :
2016
Large Scale Fabrication of Graphene Based Devices for Bioelectronics
Large Scale Fabrication of Graphene Based Devices for Bioelectronics
Graphene’s advantageous electrical, mechanical and biological properties make it a perfect candidate for bioelectronics. First of all, graphene field effect transistors, under liquid gate exhibit extremely large sensitivity to any change in the liquid gate potential [1]. Second of all, graphene has...
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Personal Name(s): | Kireev, Dmitry |
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Sarik, Dario / Seyock, Silke / Schnitker, Jan / Maybeck, Vanessa / Wolfrum, Bernhard / Offenhäusser, Andreas (Corresponding author) | |
Contributing Institute: |
Bioelektronik; ICS-8 |
Imprint: |
2015
|
Conference: | 6th Sino-German cooperation Workshop, Shanghai (China), |
Document Type: |
Talk (non-conference) |
Research Program: |
Engineering Cell Function |
Publikationsportal JuSER |
Graphene’s advantageous electrical, mechanical and biological properties make it a perfect candidate for bioelectronics. First of all, graphene field effect transistors, under liquid gate exhibit extremely large sensitivity to any change in the liquid gate potential [1]. Second of all, graphene has been proved to be stable, robust and biocompatible material. And the last, but very promising quality of graphene is its flexibility [2]. These qualities give a push to researchers for extensive work on the graphene-based devices.This work is focused on the large scale fabrication of graphene-based devices for use in bioelectronics. The most interesting kind of the devices is graphene field effect transistors (GFETs). We fabricate the GFET on 4-inch wafers (Fig. 1a), each yielding in 52 chips, 11 by 11 mm in size (Fig. 1b). Every chip 32 contains GFETs. The active area of the chips (for cellular growth) is around 2 mm in diameter (Fig. 1c). The GFET’s channel length and width vary from 2 to 20um (Fig. 1d) in order to find the best in Signal-to-Noise ratio. All the 32 GFET can be measured simultaneously, which gives us the possibility to study activity of cellular networks. Transconductance of our GFETs reach 2-3mS/V, which, considering low input noise, allows us to measure even neuronal signals. |