Photonic Crystal-Based Water Concentration Estimation in Blood Using Machine Learning for Identification of the Haematological Disorder

Human blood is made up primarily of water. Water significantly involved in balancing the human body. It affects component like mean corpuscular hemoglobin (MCH), concentration (MCHC), and platelets volume (MPV). The water varies from 80 to 90% blood. change changes refractive index plasma, plasma also proposed structure designed analyze by analyzing shifting resonant peak this processed machine learning algorithm estimate Nanocavity ring structures waveguide region are as sensing nodes structure. air hole radius these 50 nm, whereas structure’s dimension 12.15 8.45 μm2. sensitivity design 570 nm/RIU, quality factor 650. simulated through Finite Difference Time Domain (FDTD) method.