Manipal Journal of Science and Technology
Abstract
While there has been a significant increase in healthcare demands and the need for precise clinical judgment, it is important to note that the performance enhancement of photonic crystal sensors is not solely attributed to this surge in demand. Instead, photonic crystal-based biosensors have demonstrated improved performance over conventional biosensors. In this study, a 2-D photonic crystal-based biosensor with a square lattice structure, measuring 6 x 6 µm in length and width respectively, was proposed. The biosensor utilizes Titanium Dioxide (TiO2) as a sensing material, where TiO2 is employed to attract target molecules present in the sample. The proposed biosensor was designed and simulated using the Finite-Difference Time-Domain (FDTD) method. In the simulation framework, the immobilization of target molecules on TiO2 was explicitly modelled, including the definition of TiO2's optical properties, implementation of absorption mechanisms related to immobilization, and consideration of surface functionalization processes. Simulation results confirm the detection of target molecules, showing a significant wavelength shift with a sensitivity of more than 80 nm/RIU and a quality factor of 5000.
Recommended Citation
Vladimir, Markov; Maksim, Skobelev; Patil, Neeraja; P B, Prathap; and K, Saara
(2024)
"Detection of tuberculosis using 2-D photonic crystal-based biosensor,"
Manipal Journal of Science and Technology: Vol. 9:
Iss.
1, Article 5.
Available at:
https://impressions.manipal.edu/mjst/vol9/iss1/5