analysis of graphene-based photonic crystal fiber sensor using birefringence and surface plasmon resonance

We present and numerically characterize a photonic crystal fiber (pcf)-based surface plasmon resonance (spr) sensor. by adjusting the air hole sizes of the pcf, the effective refractive index (ri) of core-guided mode can be tuned effectively and the sensor exhibits strong birefringence. alternate holes coated with graphene-ag bimetallic layers in the second layer are used as analyte channels, which can avoid adjacent interference and improve the signal to noise ratio (snr). the graphene’s good features can not only solve the problem of silver oxidation but also increase the absorption of molecules. we theoretically analyze the influence of the air hole sizes of the pcf and the thicknesses of graphene layer and ag layer on the performance of the designed sensor using wavelength and amplitude interrogations. the wavelength sensitivity we obtained is as high as 2520 nm/riu with the resolution of 3.97 × 10−5 riu, which can provide a reference for developing a high-sensitivity, real-time, fast-response, and distributed spr sensor.