Modelling of refractive index-based PCF optical biosensors for pathogen detection
摘要
In this work a comprehensive modelling and simulation of refractive index based Photonic Crystal Fibre (PCF) optical biosensors for rapid detection of viral and bacterial pathogens has been evaluated. The optical guidance characteristics of PCFs and their high degree of flexibility in terms of the evanescent wave interaction are two attributes that provide significant benefits in the design of label free biosensors. Thus, we optimized the geometry of PCFs to enhance the relationship between the analytes and the optical mode, through optimization of Dual D shaped and circular ring like cladding geometries. This included optimizing the diameter of the air holes, the pitch, and the number of ring(s). In this work SARS-CoV-2, Staphylococcus aureus, and Escherichia coli analytes are used to model different types of pathogenic microorganisms over a wavelength range of 1 μm to 2.5 μm. Sensor performance for each analyte using different optical parameters such as real and imaginary parts of the effective refractive index, confinement loss, effective area, V-parameter, and spot size are investigated. Specifically, the confinement loss of SARS-CoV-2 at 0.0029 dB/m, Staphylococcus aureus at 0.0025 dB/m, and Escherichia coli at 0.0015 dB/m were all very small when measured at a wavelength of 2.5 μm. These results indicate that the proposed biosensor can be practically applied to various sensing technologies.