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Optimization of oxygen plasma based etching of single layered graphene through Raman and FESEM characterization

IR@CGCRI: CSIR-Central Glass and Ceramic Research Institute, Kolkata

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Title Optimization of oxygen plasma based etching of single layered graphene through Raman and FESEM characterization
 
Creator Agarwal, Pankaj B
Paulchowdhury, Prathana
Mukherjee, Arnab
Lohani, Piyush
Thakur, Navneet Kumar
 
Subject Microstructure and Characterization
 
Description Graphene field-effect transistors (GFETs) show high electron transfer rates, high charge-carrier mobility, low electrical noise levels and flexibility of surface functionalization, which are useful to realize the sensors for various applications. The key challenge is to develop the processes to fabricate a uniform array of GFETs devices. In this paper, single-layered graphene (SLG) was synthesized on copper (Cu) substrate using chemical vapor deposition (CVD) followed by its successful transfer over silicon (Si) substrate. To realize an array of graphene-based devices/ sensors, the process of oxygen plasma based clean etching of SLG was optimized. The Raman and Field Emission Scanning Electron Microscope (FESEM) characterizations ensure the complete etching of SLG in 240 s using 200 W, RF (13.56 MHz) power. Optimized SLG etching would help to fabricate an array of GFETs as a biochemical sensor platform. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advances in Nanomaterials and Devices for Energy and Environment.
 
Publisher Elsevier
 
Date 2022
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://cgcri.csircentral.net/5409/1/arnab.pdf
Agarwal, Pankaj B and Paulchowdhury, Prathana and Mukherjee, Arnab and Lohani, Piyush and Thakur, Navneet Kumar (2022) Optimization of oxygen plasma based etching of single layered graphene through Raman and FESEM characterization. Materials Today-Proceedings, 48 (3, SI). pp. 616-618. ISSN 2214-7853
 
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