Microstructured fibers with geometric versatility, and exceptional guiding properties, show unique advantage in constructing high-performance sensors. In this paper, a sensitivity-enhanced fiber-optic sensor based on an exposedcore single-hole microstructured fiber (SHMF) is proposed and experimentally demonstrated for the refractive index (RI) measurement of liquid samples. Experimental results show that the RI sensitivity of the exposed-core microstructured fiber is 375.77 nm/RIU in the low-range of 1.3409~1.3522. With the advantages of enhanced lightmatter interaction ability, tight light confinement and mechanical robustness, the proposed sensor based on exposedcore single-hole microstructured fiber offers great potential in biological and chemical sensing applications.
A coreless-microfiber sensor operating near the turning around point is proposed and experimentally demonstrated for small-scale refractive index (RI) sensing. Numerical simulations verify the existence of turning around point in the coreless-microfiber as the group effective RI difference between the HE11 and the HE12 modes equals zero. Experimental results show the RI sensitivity of the coreless-microfiber sensor could reach 4037.5nm/RIU around 1.333, which is consistent with the theoretical analysis results. Moreover, with the high sensing sensitivity and flexible design, the coreless-microfiber sensor operating near the turning around point has great significance application on molecular trace detection, especially in the fields of photochemical analysis and bioengineering.
In this letter, we proposed a self-temperature-compensation approach for fiber specklegram sensor (FSS) based on polarization specklegram analysis. The temperature compensation is achieved by comparing the variation difference of the two specklegrams with vertical linear polarization state. We designed a fiber specklegram magnetic field sensor employing this method and the magneto-birefringence effect of magnetic fluid. The measurement of magnetic field with high stability and good repeatability has been successfully achieved, which demonstrated the effectiveness of the proposed method. Due to the merits of low cost, ease of implement and system simplicity, the proposed method can promote the practical use of the FSS in long term monitoring.
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