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An Inkjet Printing Technique for Scalable Microfabrication of Graphene-Based Sensor Components

Authors :
Yu-Min Fu
Meng-Chuin Chou
Che-Hao Kang
Yu-Ting Cheng
Pu-Wei Wu
Guan-Yu Chen
Ethan B. Secor
Mark C. Hersam
Source :
IEEE Access, Vol 8, Pp 79338-79346 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

This paper presents a versatile and precise graphene patterning technique using the combined process of masking and inkjet printing. A graphene-based structure is fabricated by first defining the structural pattern and position using a masking mold, which can be either electroplated copper or deep reactive ion etching (DRIE) silicon shadow mask, followed by inkjet deposition of graphene ink and lift-off. The hybrid technique can realize high-fidelity, high-resolution graphene-based microstructures including free-standing and cantilever beams, four-point resistive measurement structures, and piezoresistive sensing elements with a minimum line width of $\sim 20~\mu \text{m}$ . Moreover, this method can facilitate the micropatterning of graphene oxide (GO) and reduced graphene oxide (rGO) on substrates such as polydimethylsiloxane (PDMS) and SiO2/Si for selective cell culturing applications. Owing to the characteristics of low chemical usage, low process temperature and complexity, and high flexibility and fault tolerance of inkjet printing, this technique demonstrates compelling potential for a variety of biomedical applications.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.8d6feb88d2a4370b8319ea6c286193e
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.2990501