Surface plasmon resonance biosensor sensitivity improvement employing of 2D materials and BaTiO3 with bimetallic layers of silver

• Published in: Journal of materials science. Materials in electronics Vol. 34; no. 6; p. 466
• Main Authors: Uniyal, Arun, Pal, Amrindra, Srivastava, Gaurav, Rana, Md. Masud, Taya, Sofyan A., Sharma, Amandeep, Altahan, Baraa Riyadh, Tomar, Sanjiv, Singh, Yadvendra, Parajuli, Deependra, Smirani, Lassaad K., Ahammad, S. K. Hasane, Rashed, Ahmed Nabih Zaki
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2023; Springer Nature B.V
• Subjects: Barium titanates; Bimetals; Biosensors; Characterization and Evaluation of Materials; Chemistry and Materials Science; Configuration management; Heterostructures; Materials Science; Molybdenum disulfide; Optical and Electronic Materials; Parameter sensitivity; Silver; Surface plasmon resonance; Thickness; Transition metal compounds; Two dimensional materials
• ISSN: 0957-4522; 1573-482X
• DOI: 10.1007/s10854-023-09821-w

In this paper, a surface plasmon resonance (SPR) biosensor built on bimetallic layers of Silver, BaTiO 3 , and transition metal dichalcogenide material (MoS 2 /MoSe 2 /WS 2 /WSe 2 ) are proposed. The proposed SPR biosensor is based on the attenuated total reflection (ATR) method and relies on the Kretschmann configuration to examine the performance parameters. Sensitivity, quality factor, full width at half maximum, and detection accuracy have all been numerically evaluated and assessed concerning the performance of the proposed SPR biosensor. The numerical investigation reveals the proposed biosensor structure has a much better sensitivity than the conventional structure. It has been found that by optimizing the structure with two metallic silver layers of 50 nm and 10 nm thickness, five layers of MoS 2 (each of 0.4 nm), and a monolayer of BaTiO 3 (5 nm), attained the highest sensitivity is 446 degree/RIU. The findings will pave the way for a novel heterostructure-based SPR biosensor for gas and biological sensing in the visible region.