Lossy mode resonance-based fiber optic sensor using layer-by-layer SnO2 thin film and SnO2 nanoparticles

Wang, Qi; Li, Xiang; Zhao, Wan‐Ming; Jin, Shuowei

doi:10.1016/j.apsusc.2019.06.168

Cited by 42 publications

(10 citation statements)

References 32 publications

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“…[ 28 ] Then other methods for sensitivity enhancement are also continuously appeared. [ 29,30 ] For the resonance width, nearly all research focused on modifying the substrate structures, where the tapered single mode fiber, [ 31 ] D‐shaped single mode fiber, [ 32 ] and planar waveguide [ 33 ] are proofed to effectively narrow the resonance width. Meanwhile, there is also a few reports that concentrated on other key parameters such as incident angle [ 34 ] and nanofilm characteristics, [ 35,36 ] which may get more attentions in the future for the consideration of the comprehensiveness of research.…”

Section: Introductionmentioning

confidence: 99%

Analytical Solutions to Fundamental Questions for Lossy Mode Resonance

Zhao

Wang

2022

Laser & Photonics Reviews

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Lossy mode resonance (LMR) is an optical resonance phenomenon developed in the past decade, which has been researched for sensors and filters due to its high sensitivity, low loss, and broad tunable range. As a novel technology, if an analytical mathematical model for some fundamental questions like how to design the resonance wavelength, surrounding sensitivity, resonance width, and resonance depth, it will be guiding significance to its development. Herein, this paper develops a generalized Fabry–Perot resonance theory for LMR, where the oblique incidence, cavity loss, and dispersion of substrate and cavity are comprehensively considered, and the consistency of this model and a more rigorous guided wave optics model have been verified. Then, analytical mathematical models are established and analyzed, and the designing criterion for LMR‐based optical devices is proposed. After intensive reviewing the work of predecessors, the previous experimental results are consistent with the prediction of this model, and this model can also provide some new ideas that have not been researched yet. As an assistant to wave optics theory, this paper provides a second perspective to understand LMR phenomenon, and it is hoped the analytical solutions for LMR can be a guide for designing optical devices.

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Section: Introductionmentioning

confidence: 99%

Analytical Solutions to Fundamental Questions for Lossy Mode Resonance

Zhao

Wang

2022

Laser & Photonics Reviews

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“…Once the mask has been fabricated, the rest of the process would consist in depositing the SnO 2 thin film by sputtering [20] or atomic layer deposition [21], and finally removing the mask. There are also less expensive techniques such as layer-by-layer, which has been successfully used for SnO 2 based lossy mode resonance (LMRs) sensors [22]. In the case of sputtering or atomic layer deposition, the corresponding equipment enables the fabrication of highly repetitive homogenous thin films, though a high degree of control in the parameters of layer-by-layer deposition (temperature, pH of the solutions, immersion times, drying times) should lead also to repeatable results.…”

Section: Theorymentioning

confidence: 99%

Optimization of Fiber Bragg Gratings Inscribed in Thin Films Deposited on D-Shaped Optical Fibers

Imas

Zamarreño

Villar

et al. 2021

Sensors

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A fiber Bragg grating patterned on a SnO2 thin film deposited on the flat surface of a D-shaped polished optical fiber is studied in this work. The fabrication parameters of this structure were optimized to achieve a trade-off among reflected power, full width half maximum (FWHM), sensitivity to the surrounding refractive index (SRI), and figure of merit (FOM). In the first place, the influence of the thin film thickness, the cladding thickness between the core and the flat surface of the D-shaped fiber (neck), and the length of the D-shaped zone over the reflected power and the FWHM were assessed. Reflected peak powers in the range from −2 dB to −10 dB can be easily achieved with FWHM below 100 pm. In the second place, the sensitivity to the SRI, the FWHM, and the FOM were analyzed for variations of the SRI in the 1.33–1.4 range, the neck, and the thin-film thickness. The best sensitivities theoretically achieved for this device are next to 40 nm/RIU, while the best FOM has a value of 114 RIU−1.

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“…Electromagnetic radiation can also be used to determine the thickness of a film by exploiting the resonance frequencies using both microwaves [221] and visible light [222,223]. Surface plasmon resonance (SPR) is a widely used technique in chemistry and biology to detect changes on the surface of the metal substrate, correlating them to the concentration of an analyte.…”

Section: Electromagnetic Resonancementioning

confidence: 99%

Measuring the Thickness of Metal Coatings: A Review of the Methods

et al. 2020

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Thickness dramatically affects the functionality of coatings. Accordingly, the techniques in use to determine the thickness are of utmost importance for coatings research and technology. In this review, we analyse some of the most appropriate methods for determining the thickness of metallic coatings. In doing so, we classify the techniques into two categories: (i) destructive and (ii) non-destructive. We report on the peculiarity and accuracy of each of these methods with a focus on the pros and cons. The manuscript also covers practical issues, such as the complexity of the procedure and the time required to obtain results. While the analysis focuses most on metal coatings, many methods are also applicable to films of other materials.

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Lossy mode resonance-based fiber optic sensor using layer-by-layer SnO2 thin film and SnO2 nanoparticles

Cited by 42 publications

References 32 publications

Analytical Solutions to Fundamental Questions for Lossy Mode Resonance

Analytical Solutions to Fundamental Questions for Lossy Mode Resonance

Optimization of Fiber Bragg Gratings Inscribed in Thin Films Deposited on D-Shaped Optical Fibers

Measuring the Thickness of Metal Coatings: A Review of the Methods

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