Abstract

Because of extraordinary optoelectronic properties, two-dimensional (2D) materials are the subject of intense study in recent times. Hence, we investigate sub-wavelength dipole cavities (hole array) as a sensing platform for the detection of 2D reduced graphene oxide (r-GO) using terahertz time-domain spectroscopy (THz-TDS). The r-GO is obtained by reducing graphene oxide (GO) via Hummer's method. Its structural characteristics are verified using X-ray diffraction (XRD) and Raman spectroscopy. We also assessed the morphology and chemistry of r-GO nanosheets by scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDAX), and Fourier Transformed Infrared (FTIR) spectroscopy. Further, we studied the surface plasmon resonance (SPR) characteristics of r-GO nanosheets hybridized dipole cavities using THz-TDS by varying the r-GO thickness on top of the dipole cavities, since these cavities are well known for sustaining strong SPRs. Based on these, we experimentally obtained a sensitivity of 12 GHz/µm for the porous r-GO film. Thus, a modification in SPR characteristics can be employed towards the identification and quantification of r-GO by suitably embedding it on an array of dipole cavities. Moreover, we have adopted a generic approach that can be expanded to sense other 2D materials like Boron Nitride (BN), phosphorene, MoS2, etc., leading to the development of novel THz nanophotonic sensing devices.

Details

Title
Terahertz sensing of reduced graphene oxide nanosheets using sub-wavelength dipole cavities
Author
Sajeev, Vaishnavi 1 ; Rane, Shreeya 1 ; Ghosh, Debal 2 ; Acharyya, Nityananda 3 ; Roy Choudhury, Palash 3 ; Mukherjee, Arnab 2 ; Roy Chowdhury, Dibakar 3 

 Mahindra University, Ecole Centrale School of Engineering (ECSoE), Hyderabad, India 
 Central Glass and Ceramic Research Institute (CGCRI), Kolkata, India (GRID:grid.418364.c) (ISNI:0000 0004 0507 1940) 
 Mahindra University, Ecole Centrale School of Engineering (ECSoE), Hyderabad, India (GRID:grid.418364.c) 
Pages
12374
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2843974352
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.