Numerical simulation of optical refractometric sensing of multiple disease markers based on lab-in-a-fiber

Abstract

A multi-parameter optical refractometric sensor based on lab-in-a-fiber is proposed and its sensing properties have been investigated. Based on the particular three suspended-core fiber, the sensor has three channels for liquid circulation and three suspended cores for detection. The multiple disease markers can be detected by coating the specific bio-recognition layer on the surface of three channels. The bio-recognition layer thickness, representing the concentration of the disease markers, can then be measured by the wavelength of fiber Bragg grating inscribed in each suspended core. Owing to the triple symmetry of the fiber, the sensitivity of each core is similar. The simulation results show that the grating wavelength linearly changes with the bio-recognition layer thickness variation. Through the sensitivity matrix, the sensitivity of the sensor is 0.362 nm/nm and the sensing accuracy is ± 1 nm.