Numerical Investigation of Photonic Crystal Fiber-Based Biosensor for Pathogens Detection in Water
Emranul Haque, Abdullah Al Noman, Feroz Ahmed
Abstract
In this paper, a Photonic Crystal Fiber (PCF) based Surface Plasmon Resonance (SPR) biosensor for the detection of four bacteria such as <i>Vibrio Cholera, Escherichia Coli (E. coli), Bacillus Anthracis, and Enterococcus Faecalis</i> is proposed and evaluated numerically using finite element method (FEM)-based simulation tool. The proposed sensor exhibits excellent performance characteristics and has the configuration of identifying analyte samples externally. The sensor is designed with a basic square lattice of PCF, covered with a thin chemically stable gold layer. The proposed sensor can detect these four bacteria from pure water and has the highest wavelength sensitivity of 5161 nm/RIU for <i>Enterococcus Faecalis</i>. Other critical parameters such as Signal to Noise Ratio, Detection Limit, Sensor Length, Quality Factor, and Detection Accuracy are also calculated and presented for the proposed PCF biosensor.