Titanium-Coated Extremely Sensitive SPR Biosensor for Cancer Cell Detection

Hoque, Abdullah Mohammad Tanvirul ORCID: https://orcid.org/0000-0001-7243-1780, Altabatabaie, Kusay Faisal ORCID: https://orcid.org/0000-0002-6632-3596, Habib, Md Ahasan ORCID: https://orcid.org/0000-0001-7732-2639, Ahsan, Mominul ORCID: https://orcid.org/0000-0002-7300-506X and Haider, Julfikar ORCID: https://orcid.org/0000-0001-7010-8285 (2024) Titanium-Coated Extremely Sensitive SPR Biosensor for Cancer Cell Detection. Journal of Sensors, 2024. 4748809. ISSN 1687-7268

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Abstract

In this study, a D-shaped, extremely sensitive surface plasmon resonance (SPR) sensor with a blue shift characteristic is proposed that can be used to identify various malignant cancer cells. A sensing layer made of titanium is inserted to produce intense sensitivity. For the simulation and numerical evaluation of the proposed biosensor, we used the finite element method (FEM) and the COMSOL Multiphysics 5.6 software. To regulate how much light passes through the sensor, which incites the released electrons at the surface of the plasmonic material, air holes in different radii are used. The characteristics that make our proposed sensor superior to other D-shaped SPR sensors are—it gives an excellent amplitude sensitivity (AS) of 200 RIU−1 also ensures extremely high wavelength sensitivity (WS) spanning from 34,350 to 42,145 nm/RIU with an outstanding spectral resolution of 2.37 × 10−6 RIU. Furthermore, the R2 (0.9966) value is also extremely close to 1 which ensures the quality of our sensor regarding its performance. The given sensor is tailored for four vital human cancers, which are blood cancer, skin cancer, cervical cancer, and adrenal gland cancer. Here, optimization of the structural geometric parameters, plasmonic materials, and material thickness are also conducted in search of the best functionality of the sensor. The offered structure, nonetheless, can be an obvious prologue in the case of the crucial human cancer detection platform due to its mild sensing performances.