A Fiber Bragg Grating Sensor Based on Cladding Mode Resonance for Label-Free Biosensing

A fiber-optic biosensing platform based on ultra-narrowband cladding mode resonances was developed on a high-reflectivity fiber Bragg grating (FBG) for targeting biomolecular detection. The multiple cladding modes with a high sensitivity to the refractive index (RI) were excited in the FBG by coupling between the forward-propagating guided core mode of the multimode fiber and the backward-propagating guided cladding mode of the FBG without any damage to the fiber structure or any change to the standard FBG manufacturing process. The full width at half maximum and the Q-factor of the typical cladding mode resonance operation of the proposed sensor are 80 pm and 19,270, respectively, which are better than those of most fiber-optic biosensors reported to date. In addition, the FBG sensor demonstrated a high sensitivity in protein detection and a high selectivity in serum sample assays. The sensitivity of this sensor was further increased simply by coating it with graphene oxide (GO) sheets on the sensing surface without using a signal amplification strategy. Furthermore, an ultra-low limit of detection (LOD) of 32 pM was obtained by the GO-coated FBG sensor for IgG detection. The proposed FBG sensor provides a competitive fiber-optic platform for biomolecular detection. It has a great potential for applications in label-free biosensing.

Automated summary

A fiber-optic biosensing platform based on ultra-narrowband cladding mode resonances was developed using a high-reflectivity fiber Bragg grating (FBG) for targeted biomolecular detection. Multiple cladding modes with high sensitivity to refractive index (RI) were excited in the FBG through coupling between the guided core mode of a multimode fiber and the guided cladding mode of the FBG. The proposed FBG sensor demonstrated superior performance in terms of sensitivity and selectivity, and the sensitivity was further enhanced by coating graphene oxide (GO) sheets on the sensing surface.