A multiplex localized surface plasmon resonance (LSPR) temperature sensor based on grapefruit fiber filled with a silver nanoshell (SNS) and liquid is designed and characterized by the finite element method. Due to the plasmon hybridization in SNS, the designed sensor supports two separate intense LSPR bands that can realize dual-channel temperature sensing at the same time by altering the light wavelength. When temperature increases from 20°C to 80°C, two LSPR bands shift to the shorter wavelength in good linear relationships with wavelength sensitivities of −1.14 and −0.86 nm / ° C. The maximum amplitude sensitivity can reach 0.77 ° C − 1 for peak I with the resolution of 0.01°C. Moreover, the full width half maximum of peak I is <5 nm, exhibiting much better figure of merit than other works, which can provide a new way for multiplex temperature sensing of fiber sensors.
A localized surface plasmon resonance (LSPR) temperature sensor based on photonic crystal fiber (PCF) filled with liquid and silver nanowires is demonstrated both theoretically and experimentally. Simulation results show that a blueshift is appeared along with temperature increasing. The resonance wavelength and resonance intensity can be tuned effectively by adjusting the volume ratios of the liquid constituents. To investigate the sensor’s performance, a large temperature range from 25°C to 60°C is detected in experiment and the sensitivity of -2.08 nm/°C with figure of merit (FOM) 0.1572 is obtained. The all-fiber device with strong mechanical stability is easy to realize remote sensing by changing the downlead fiber length, also promising for developing a high sensitive, real-time and distribute fiber sensor in temperature sensing applications.
We propose a sensitivity-enhanced intracavity-absorption gas sensor based on the phenomenon of mode competition in the dual-wavelength ring fiber laser. The laser configuration possesses the sensing and reference wavelengths as 1530.372 nm and 1532.168 nm, respectively. When the hollow-core photonic crystal fiber (HC-PCF) is filled with 1000-ppmv acetylene, a sudden change on absorption intensity of more than 30 dB can be achieved by adjusting the optical loss in the laser cavities, resulting from the mode competition between the sensing and reference wavelengths. The minimum detectable acetylene concentration (MDAC) of 29.53 ppmv is obtained in experiment, one order of magnitude higher than former works.
A tunable single polarization filter based on high-birefringence photonic crystal fiber with silver wires symmetrically filled into cladding air holes is designed. The confinement loss of the unwanted polarized mode (x-polarized mode) at 1310- and 1550-nm bands are 371 and 252 dB/cm, whereas another mode confinement loss (y-polarized mode) at the corresponding wavelength as low as 14 and 10 dB/cm, respectively. Moreover, the 20-dB bandwidth can reach 179 (at the 1310-nm band) and 71 nm (at the 1550-nm band) for a propagation distance of 1 mm. The dispersion relations and polarization characteristics are analyzed in detail utilizing the finite element method. Numerical results show that by adjusting the pitch between two adjacent air holes, the diameters of cladding air holes or silver wires near the fiber core, the resonance wavelength and resonance strength can be tuned effectively, which is beneficial for tunable polarization filter devices in the communication wave bands.
A numerical study of a surface plasmon resonance (SPR) sensor based on photonic crystal fiber (PCF) filled with core-shell Ag-Au nanocomposite materials for measurement of refractive index of the analyte is presented. Considering the design flexibility and improved optical properties of the core-shell bimetallic nanocomposite materials, the proposed sensor is demonstrated to achieve high spectral sensitivity, high detection accuracy, and sensing spectra tuning ability. Meanwhile, the existence of the gold shell can protect the silver core from oxidation, which means high system stability and long lifetime. Based on numerical simulations, the influences of structural parameters of the sensor on sensing properties are discussed. Furthermore, the parameters are optimized by analyzing the simulation results to achieve better performance. It is observed that a high average spectral sensitivity of 5940 nm/RIU with the resolution of 1.68×10−5 RIU in the sensing range of 1.33 to 1.38 can be achieved.
This paper addresses point-like target detection of dual- band infrared data. The adaptive spatial-temporal filtering algorithm is derived from the condition of local time- invariant Gaussian clutter interference. The simulation results with real world infrared images show that the algorithm has successfully suppressed the background clutter and the signal-to-clutter ratio is increased.
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