Glycosuria monitoring based on whispering gallery mode resonator biosensor

In this paper, we propose a design of a refractive index sensor based on optical fiber WGM resonator for urine glucose monitoring allowing the glycosuria diagnosis. The designed sensor is simulated using the finite element method. First, we have carried out a comparative study between sensor’s materials, in order to seek the apt selection for glucose detection in human urine. The study has disclosed that the best quality factor is found to be 7× 10^4 for Silicon sensor beyond a narrow FWHM of 0.024 nm leading to the very high FOM 2737.5 RUI^-1 , while the PMMA sensor has a better sensitivity of 763.5 nm/RIU compared to sensors made of other materials. In the second part of our work, we proposed a biosensor based on the best material which is the silicon, and investigated it to detect different glucose concentration in normal human urine (0–15 mg/l and urine with 6.25 g/l, 12.5 g/l, 25 g/l, 50 g/l) glucose concentrations. The biosensor shows a high performance manifested with a Q-factor around 2.2× 10^4 and very high FOM about 2× 10^3 which allows an accuracy detection of a small change in urine RI around 10^-4 RUI.