This research aims to identify the presence of early-stage cancer in individual living cells through the utilization of a surface plasmon resonance (SPR) prism-based biosensor device. The proposed investigation employs SPR phenomena to differentiate between healthy and cancerous cells, employing a multilayer sensing structure. A BK7 glass prism is used as the sensing platform, coated with a nanocomposite layer consisting of gold (Au), titanium dioxide (TiO2), and graphene. The refractive index (RI) range of cancerous adrenal gland (PC12) cells is found to be between 1.381 and 1.395. The numerical results demonstrate that the proposed biosensor, equipped with single and multilayer nanocomposite structures, exhibits high sensitivity, figure of merit (FoM), detection accuracy (DA), and signal-to-noise ratio (SNR) for both healthy and cancerous PC12 cells. As the concentration of cancerous PC12 biomolecules increases in healthy cells, the SPR angle shifts, indicating variations in the refractive index due to the presence of cancerous cell biomolecules. The measurement of refractive index modifications in cancerous PC12 cells of the adrenal gland is achieved through an angle interrogation approach. Various thicknesses of TiO2, Au, and graphene layers have been improved to enhance the performance of the biosensor.
This paper presents a novel approach for pathogenic bacteria detection (PathoBactD) through the utilization of a surface plasmon resonance (SPR)-based biosensor. The sensor consists of a BK7 prism coated with silver (Ag), barium titanate (BaTiO3), and molybdenum diselenide (MoSe2) in the Kretschmann arrangement. The proposed SPR-based biological sensor incorporates the concept of attenuated total reflection (ATR) for accurate measurements. Various performance characteristics of the sensor, including sensitivity, figure of merit (FoM), signal-to-noise ratio (SNR), detection accuracy, and quality factor, have been thoroughly analyzed. The integration of BaTiO3 significantly enhances the sensor's capability for PathoBactD. To evaluate the impact of the BaTiO3 layer on the performance parameters of the MoSe2-based SPR biological sensor, a theoretical model employing the angular interrogation technique has been developed.
Surface plasmon resonance (SPR) sensors are extensively used in a variety of applications. In the proposed investigation, SPR phenomena are used to detect toxic gases by employing a multilayer sensing chip. A glass prism is coated with a nano composite thin film based on different materials: gold (Au), titanium dioxide (TiO2), and molybdenum disulfide (MoS2). The ammonia gas is applied to the MoS2 sensing layer of the multilayer optical sensing chip. As the ammonia gas concentration rises around the multilayer sensing structure, the resonance angle increases, indicating that the MoS2 layer refractive index has gone up significantly due to absorption of the increasing ammonia gas concentration. The measured ammonia gas concentration is based on an angle interrogation approach. The sensor performance has also been optimized for varied MoS2 and Au layer thicknesses. This article has all the mathematical equations that are needed, and MATLAB software is used to check the results.
Prism-based surface plasmon resonance (SPR) optical sensors are extensively used in a variety of applications. In implementing a multilayer sensing structure, SPR phenomena are employed to detect gases in the proposed research. A BK7 glass prism is used as a sensing structure with decomposition on nano thin films based on different materials: silver (Ag), titanium dioxide (TiO2), and graphene. The methane gas is applied to the graphene sensing layer of the multilayer optical sensor. As the methane gas concentration rises around the sensor, the SPR angle varies, indicating that the refractive index of graphene layer is changed significantly due to absorption of the increasing methane gas concentration. The methane gas concentration measurement is based on an angle interrogation technique. TiO2, graphene, and Ag layers of different thicknesses have been optimised for sensor performance.
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