Numerical study of surface plasmon resonance sensor for early-stage pregnancy detection by urine samples
摘要
Pregnancy is a transformative period for women, spanning nine months during which a fetus develops within the womb. This study introduces a biomedical application of a Surface Plasmon Resonance (SPR) based biosensor designed to enable early pregnancy detection, ultimately reducing the risk of miscarriage. The proposed sensor setup adheres to the Kretschmann configuration and incorporates essential components including a prism, Copper, Barium Titanate, Black Phosphorus, and a specialized sensing medium. The biological sample utilized for this sensor is urine samples obtained from women, and their refractive index values are analyzed to detect variations. The research leverages advanced methodologies such as the transfer matrix method and angular interrogation to assess the SPR sensor’s performance specifically at a wavelength of 633 nm. The study extensively evaluates the sensor’s detection capabilities for a particular biological sample, considering parameters such as Sensitivity (S), FWHM, Detection Accuracy (DA), Quality Factor (QF), LOD and Dip-of-Figure of Merit (DFOM). Importantly, the detection process yields compelling results, with non-pregnant and pregnant cases demonstrating maximum sensitivities of 362 deg./RIU, FWHM 2.49 deg., DA value 0.40 deg.−1, QF value of 144.8 RIU−1, LOD value of 2.7