Pregnancy Detection Through Modelling of Dual-Polarized Plasmonic PREGBIOSENSOR by Urine Samples Analysis

This research work presents a biomedical application of photonic crystal fiber (PCF)-based surface plasmon resonance (SPR ) biosensors for the earliest possible detection of pregnancy to reduce the risk of miscarriage. The sensor design contains a combination of Au, TiO2, and MgF2 layers of plasmonic materials, which provide better stability to the sensor model. The biosensor parameters are examined for both TMmode and TEmode, following the principle of couple mode light theory. The analyte used in the proposed sensor is women's urine samples, which are investigated based on the variations in their refractive index ( RI ) values. The biosensor has obtained the highest wavelength sensitivity ( WS) of 110000nm/RIU and 130000nm/RIU for TMmode and TEmode respectively. Peak amplitude sensitivity ( AS) of 24180RIU(-1) and 31670RIU(-1) is obtained for TMmode and TEmode, respectively. The biosensor can achieve sensor resolution ( SR) in the order of 10(-7) for both TMmode and TEmode. The R-2 close to unity is achieved for both TMmode and TEmode. The maximum FOM obtained from the proposed biosensor is 984.84RIU(-1) and 1078.83RIU(-1) for RI 1.3420 and 1.3430RIU, respectively, corresponding to TEmode.

Automated summary

This research work presents the application of PCF-based SPR biosensors for early pregnancy detection using women's urine samples. The biosensor design includes plasmonic materials layers for better stability. The biosensor achieves high wavelength sensitivity, peak amplitude sensitivity, and sensor resolution for both TMmode and TEmode. The maximum figure of merit (FOM) obtained from the biosensor is also reported.