One-dimensional photonic crystal-based biosensor for the detection of glucose concentration in human urine

Abstract

A biosensor structure based on a ternary photonic crystal (TPC) containing a defect is designed and simulated. This proposed biosensor detects the concentration of glucose in human urine. Based on the transfer matrix method, we theoretically studied the transmission spectra through the TPC presuming blood samples with different refractive indices (RIs) infiltrated into the defect layer of the proposed structures. By varying the concentration of glucose in the urine, the RI of the urine is changed, which in turn changes the sensor's output response; both transmission response and resonance wavelength are affected. We evaluated average sensitivity (S) for the number of periods at different values N for optimization purposes. Our results show that the biosensor has performance parameters for a period value N ¼ 6. Indeed, a value of 1033 nm of full width at half maximum photonic bandgap can be observed with a S of 965 nm∕RIU. The quality factor is 1892.542 and the figure of merit is 756.86 RIU −1 . The proposed biosensor can be a miniaturized structure with extreme sensitivity in the concentration of glucose detection models © 2023 Society of Photo-Optical Instrumentation Engineers (SPIE)

Optimization of a ternary photonic crystal biosensor for enhanced chikungunya virus detection

“…The selected wavelength range is suitable for medical applications, such as viral detection, which is one of the intended applications of the biosensor. 18,21 Using the wellknown TMM to calculate the transmittance spectrum curves of the TPC without any defect at initial conditions of normal angle of incidence and periodic number in both sides equal N ¼ 3, the key finding in the first suggested structure without a defect layer illustrated in Fig. 1 denotes the presence of a photonic band gap, as shown in Fig.…”

“…17 Recently, 1D-PC-based biosensors received considerable attention in the detection of different diseases such as cancer cells, 18 malaria infection, 19 and diabetes. 20,21 Chikungunya disease has also been the interest of PCs by Sharma et al, 8 who designed a 2D-PC double ring resonator-based biosensor. It also has an excellent S of 3430 nm∕RIU and a low-quality factor (Q) of 60.21.…”

2D Gallium Sulfide-Based 1D Photonic Crystal Biosensor for Glucose Concentration Detection

“…Several biosensing applications have been reported using 1D PCs, such as the detection of extracellular vesicles [ 15 ], viruses [ 16 ], bacteria [ 17 ], proteins, DNA, and RNA [ 10 ]. One-dimensional photonic crystal-based biosensors for glucose monitoring have shown promising results in terms of sensitivity and Q-factor [ 18 ].…”