Computational Modelling of Doubly‐Photopolymerized Holographic Biosensors

Holographic sensors are optical devices capable of tuning reflection wavelength, dependent upon nanostructured variations in refractive index. Computational modelling is utilized to simulate the recording and swelling characteristics developed doubly photopolymerized (DP) holographic sensors. The simplify fabrication processes, reduce financial costs, improve biocompatibility. A grating achieved through situ photopolymerization a highly crosslinked polymer produce index modulation. unique DP possess necessitate development system-specific computational modelling. Hydrogel parameters, including film thickness, change, layer number, external medium examined for their effect on spectra. Optimized models study differential rates individual spacings sensor response, indicating an idealized reduction 50% region. 2D photonic crystal geometry with additional periodicity developed, inform further design opportunities. parameters both 1D structures will assist