Department of Electrical and Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh
Md Abu Huraiya
Department of Electrical and Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh
Vinoth Raj R
Department of Electronics and Communication Engineering, Saveetha Engineering College, Thandalam, Chennai,602105, Tamilnadu, India
Abror Jawad
Department of Electrical and Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh
Chang Yi Kong
Department of Environment and Energy System, Graduate School of Science and Technology, Shizuoka University, 3-5-1 Johoku Chuo-ku, Hamamatsu 432-8561, Japan; Department of Applied Chemistry and Biochemical Engineering, Faculty of Engineering, Shizuoka University, 3-5-1 Johoku Chuo-ku, Hamamatsu 432-8561, Japan
Hitoshi Tabata
Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan; Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Sankar Ganesh Ramaraj
Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan; Corresponding authors.
S.M. Abdur Razzak
Department of Electrical and Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh; Corresponding authors.
This study represents a new design for an empathetic surface plasmon resonance (SPR) sensor that utilizes BlueP/TMDCs and BaTiO3 (barium titanate) and employs the angular interrogation technique to measure the glucose concentration level in urine samples. This design optimization involved extensive numerical analysis through the use of the Transfer Matrix Method (TMM) at a visible wavelength of λ=633 nm to enhance sensitivity, full width half maximum (FWHM), detection accuracy (DA), and quality factor (QF). Additionally, Finite Element Method (FEM) analysis was used to ensure the accuracy of the findings achieved through Transfer Matrix Method (TMM). The suggested biosensor configuration involves five layers: a BK-7 glass prism, 56 nm Ag layer, 11 nm BaTiO3 layer, BlueP/TMDCs with thickness of 0.68 nm, and a sensing medium (urine sample). Unlike earlier designs relying on conventional 2D materials or single dielectric layers, the proposed hybrid structure not only enhances light-matter interaction and optimizes electromagnetic field distribution but also outperforms other hybrid sensors by achieving superior sensitivity, detection accuracy, and quality factor. Through the use of novel combination of BlueP/TMDCs and BaTiO₃ in this hybrid sensor, the biosensor achieved significantly improved performance, with enhanced sensitivity of 435 deg/RIU at a concentration of glucose 10 g/dL, QF of 86.29442 RIU−1 as well as DA of 0.190114 deg−1 spanning a refractive index (RI) from 1.335 to 1.347.
