A Miniaturized Metamaterial Resonator-based Microwave Biosensor with High Quality Factor for Solid Materials Characterization

Authors A. Serhane1, M. Berka1,2 , T. Islam3, S. Das4, M. L. Kumar 5, Z. Mahdjoub2
Affiliations

1Department of Electrotechnic, University Mustapha Stamb Ouli of Mascara, 29000 Mascara, Algeria

2Laboratory E.P.O, 22000 Sidi Bel Abbés, University of S.B.A, Algeria

3Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204, USA

4Department of Electronics and Communication Engineering, IMPS College of Engineering and Technology, Malda, W.B, India

5Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, , A.P. – 522302, India

Е-mail m.barka@univ-mascara.dz
Issue Volume 16, Year 2024, Number 3
Dates Received 12 April 2024; revised received 16 June 2024; published online 28 June 2024
Citation A. Serhane, M. Berka, et al., J. Nano- Electron. Phys. 16 No 3, 03005 (2024)
DOI https://doi.org/10.21272/jnep.16(3).03005
PACS Number(s) 84.40.Ba
Keywords Biosensor (5) , Dielectric constant (8) , Metamaterial (2) , Quality factor, SRR (8) .
Annotation

Because of its qualitative importance in several aspects, especially biomedical ones, the characterization of solid materials has recently attracted the interest of scholars. The detection of such a material based on its dielectric constant with reliable precision represents the main desired objective. In this paper, a miniature sized microwave biosensor is presented for solid materials characterization. The proposed biosensor is formed by two identical and periodic split ring metamaterial resonators (SRRs) fed by a microstrip line adapted to its two extremities. The method proposed for the design of our biosensor is based on the exploitation of the electromagnetic qualities of each SRR representing the unit cell of the overall structure. The size of the SRR is optimized for electrical dimensions of where is the free space wavelength calculated at the lowest operating frequency of 4.72 GHz. the characterization of solid materials is based on the detection of its dielectric constants through direct contact with the proposed biosensor. For our study, we have used different substrates to have the different sensitivities. The simulations carried out on the overall structure (biosensor and dielectric substrate) based on the HFSS numerical simulator showed good sensing performance of our biosensor. A low full width at half maximum (0.004), A high quality factor (103.28) and a high figure of merit (428.61). These features can make our biosensor more reliable for solids materials sensing.

List of References