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

被引:18
作者
Chen, Shimeng [1 ]
Zhang, Chao [1 ]
Wang, Jiahui [1 ]
Li, Na [1 ]
Song, Yongxin [1 ]
Wu, Haojun [1 ]
Liu, Yun [2 ]
机构
[1] Dalian Maritime Univ, Dept Marine Engn, Dalian 116026, Peoples R China
[2] Dalian Univ Technol, Sch Phys, Dalian 116024, Peoples R China
来源
BIOSENSORS-BASEL | 2023年 / 13卷 / 01期
基金
中国国家自然科学基金;
关键词
fiber Bragg grating; biosensor; label-free; limit of detection; graphene oxide; REFRACTIVE-INDEX SENSOR; HIGH-SENSITIVITY; GRAPHENE OXIDE; INTERFEROMETER; ENHANCEMENT; TECHNOLOGY; WAVELENGTH; TRANSITION; DISPERSION;
D O I
10.3390/bios13010097
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
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页数:12
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