High-sensitivity Bloch surface wave sensor with Fano resonance in grating-coupled multilayer structures

Ge, Daohan; Zhou, Yujie; Lv, Mengcheng; Shi, Jiakang; Babangida, Abubakar A.; Zhang, Liqiang; Zhu, Shining

doi:10.1088/1674-1056/ac2e60

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…The refractive indices of SiO2, TiO2, and LiNbO3 are nSiO2=1.434, nTiO2=2.3, and nLiNbO3=2.16, 16 respectively. The imaginary part of the refractive index refers to the loss of the dielectric layer (γTiO2=0.0001 in this paper) 17 . The thicknesses dSiO2=λ4nSiO2≈270nm, dTiO2=λ4nTiO2≈168 nm (λ=1550 nm).…”

Section: Structure and Calculation Methodsmentioning

confidence: 98%

Effect of lithium niobate on the sensing characteristics of magnetic and thermal sensor with one-dimensional photonic crystal

et al. 2023

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.A highly sensitive one-dimensional photonic crystal magnetic and thermal sensor with lithium niobite (LiNbO3) used as the defect layer is proposed. The rigorous coupled wave analysis theory and the wavelength interrogation method were performed to further investigate the effects of different defect layers and magnetic fluid film structure parameters on the sensitivity and figure of merit (FOM). The results show that the introduction of LiNbO3 can significantly improve the sensing performance. When LiNbO3 was introduced as the defect layer, the magnetic field detection sensitivity increased from 0.817 to 1.9133 nm / Oe, whereas the temperature detection sensitivity increased from −0.0724 to 0.304 nm / ° C. Meanwhile, it provides a high FOM value of 8.7099 Oe − 1. Our work provides a guideline for the future application of LiNbO3 materials in magnetic and thermal sensors.

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Section: Structure and Calculation Methodsmentioning

confidence: 98%

Effect of lithium niobate on the sensing characteristics of magnetic and thermal sensor with one-dimensional photonic crystal

et al. 2023

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“…The responsivity of the microbolometers is affected by the IR absorptivity and the effective thermal conductance of the bridges. To build an optimal structure of the Al grating intended to enhance IR absorptivity [17][18][19], the IR absorptivity at the wavelength ranging from 7 μm to 13 μm given different periods p and widths d is simulated by using Lumerical finite -different time -domain (FDTD) software. In the simulation process, the side length of the sensor and deepness of thermally isolated cavity c is set to 40 μm.…”

Section: Design and Simulationmentioning

confidence: 99%

Performance-Enhanced Polysilicon Microbolometer in CMOS Technology With a Grating Structure

Guo

Wang

et al. 2023

IEEE Photonics J.

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The resistive microbolometer fabricated by using CMOS technology can be monolithically integrated with the readout circuit but usually performs poorly in responsivity and detectivity. In this paper, the poly-Si microbolometer with Al grating structure is demonstrated in the standard CMOS process. The simulation results show that not only are surface plasmon polaritons generated at the interface of the Al grating and SiO2, Al grating also provides the infrared resonant cavity required for the absorber, which improves the responsivity of the microbolometer. According to the experimental results, the maximum detectivity of the microbolometer with the grating structure reaches up to 2.2610 9 cmHz 1/2 /W at 10 μm, which means an increase by 27.8% compared to the one without the Al grating. Moreover, the average detectivity of the microbolometer is also improved when the wavelength ranges from 7 μm to 13 μm. It is effortless to implement the proposed high-performance microbolometer in a unit structure based on CMOS technology, which is favorable to high-density array integration.

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“…7,8 Both of these structural designs typically involve the injection of a magnetic fluid into the dielectric aperture, directing the resonant wavelength in the spectrum to drift as the magnetic field increases. But unfortunately, photo biosensors based on guided-mode resonance 9,10 and Bloch surface wave (BSW) [11][12][13][14] modes can be measured in various ways, such as measuring resonance wavelength, interference phase, light intensity, and angle when detecting biochemical solutions. In contrast, photonic crystal magnetic sensors (PCMS) are still mainly based on the detection of resonance wavelength drift.…”

Section: Introductionmentioning

confidence: 99%

One-dimensional photonic crystal magnetic sensors based on incomplete surface defect patterns

Zhang

Chen

et al. 2023

Opt. Eng.

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.We propose and study an innovative magnetic sensor of incomplete surface defect one-dimensional (1D) photonic crystal composed of magnetic fluid, SiO2, and TiO2 as defect layers. The magnetic fluid film covers the surface of the 1D photonic crystal, whereas the magnetic fluid penetrates into the array of circular holes with period ∧ inscribed on the dielectric layers of SiO2 and TiO2 to form the incomplete surface defect layer. The sensing characteristics of a 1D photonic crystal magnetic sensor (1D-PCMS) were analyzed using the theory of rigorous coupled wave analysis. The innovative use of the angular interrogation method in magnetic field detection has investigated the effect of defect layer structure parameters, optical dielectric loss on magnetic sensor sensitivity and quality factor at a fixed wavelength. This incomplete surface defect mode 1D-PCMS structure demonstrates the feasibility of scanning angular measurements of magnetic fields and provides a reference for future research on 1D-PCMS based on angular interrogation.

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High-sensitivity Bloch surface wave sensor with Fano resonance in grating-coupled multilayer structures

Cited by 5 publications

References 47 publications

Effect of lithium niobate on the sensing characteristics of magnetic and thermal sensor with one-dimensional photonic crystal

Effect of lithium niobate on the sensing characteristics of magnetic and thermal sensor with one-dimensional photonic crystal

Performance-Enhanced Polysilicon Microbolometer in CMOS Technology With a Grating Structure

One-dimensional photonic crystal magnetic sensors based on incomplete surface defect patterns

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