Wouter Vandezande, Annelies Dillen, Jeroen Lammertyn, Maarten B. J. Roeffaers
{"title":"通过光线跟踪进行广义光纤表面等离子共振建模","authors":"Wouter Vandezande, Annelies Dillen, Jeroen Lammertyn, Maarten B. J. Roeffaers","doi":"10.1007/s11468-024-02474-3","DOIUrl":null,"url":null,"abstract":"<p>Fiber-optic surface plasmon resonance (FO-SPR) sensors look at the absorbance of reflected light to measure changes in refractive index (RI). FO-SPR sensor modeling is essential in understanding the underlying processes that induce such RI changes. Despite two types of rays, i.e., skew and meridional rays, an FO-SPR model has been developed in the literature that only considers meridional rays. This meridional model has proven its applicability in several publications using pass-through FO-SPR sensors. However, this simplified FO-SPR model fails to simulate back-reflecting FO-SPR sensors properly, where diffuse light is delivered and collected at the same optical fiber end. Here, it is shown that a generalized FO-SPR model that includes skew rays more accurately simulates the spectra obtained in back-reflecting FO-SPR sensors. With the changing incidence plane of a skew ray in mind, the generalized FO-SPR model was built with three-dimensional polarization ray-tracing calculus. The necessary angular ray distribution of the back-reflecting FO-SPR sensor was acquired by a Monte Carlo three-dimensional ray-tracing simulation. Next, the effect of including optical components and deviations and model optimization by adjusting the gold relative permittivity and thickness was evaluated. The generalized model simulated FO-SPR absorbances with smaller widths than the experimental FO-SPR absorbances. The cause of this difference in absorbance is unclear and demands more research. Nevertheless, the skew ray incorporation in the generalized FO-SPR model enabled its application to a greater diversity of FO-SPR sensors compared to the simplified FO-SPR model both as a predictive and an analytic tool in the development of FO-SPR sensors.</p>","PeriodicalId":736,"journal":{"name":"Plasmonics","volume":null,"pages":null},"PeriodicalIF":3.3000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generalized Fiber-Optic Surface-Plasmon-Resonance Modeling Through Ray-Tracing\",\"authors\":\"Wouter Vandezande, Annelies Dillen, Jeroen Lammertyn, Maarten B. J. Roeffaers\",\"doi\":\"10.1007/s11468-024-02474-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Fiber-optic surface plasmon resonance (FO-SPR) sensors look at the absorbance of reflected light to measure changes in refractive index (RI). FO-SPR sensor modeling is essential in understanding the underlying processes that induce such RI changes. Despite two types of rays, i.e., skew and meridional rays, an FO-SPR model has been developed in the literature that only considers meridional rays. This meridional model has proven its applicability in several publications using pass-through FO-SPR sensors. However, this simplified FO-SPR model fails to simulate back-reflecting FO-SPR sensors properly, where diffuse light is delivered and collected at the same optical fiber end. Here, it is shown that a generalized FO-SPR model that includes skew rays more accurately simulates the spectra obtained in back-reflecting FO-SPR sensors. With the changing incidence plane of a skew ray in mind, the generalized FO-SPR model was built with three-dimensional polarization ray-tracing calculus. The necessary angular ray distribution of the back-reflecting FO-SPR sensor was acquired by a Monte Carlo three-dimensional ray-tracing simulation. Next, the effect of including optical components and deviations and model optimization by adjusting the gold relative permittivity and thickness was evaluated. The generalized model simulated FO-SPR absorbances with smaller widths than the experimental FO-SPR absorbances. The cause of this difference in absorbance is unclear and demands more research. Nevertheless, the skew ray incorporation in the generalized FO-SPR model enabled its application to a greater diversity of FO-SPR sensors compared to the simplified FO-SPR model both as a predictive and an analytic tool in the development of FO-SPR sensors.</p>\",\"PeriodicalId\":736,\"journal\":{\"name\":\"Plasmonics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plasmonics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1007/s11468-024-02474-3\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plasmonics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1007/s11468-024-02474-3","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Generalized Fiber-Optic Surface-Plasmon-Resonance Modeling Through Ray-Tracing
Fiber-optic surface plasmon resonance (FO-SPR) sensors look at the absorbance of reflected light to measure changes in refractive index (RI). FO-SPR sensor modeling is essential in understanding the underlying processes that induce such RI changes. Despite two types of rays, i.e., skew and meridional rays, an FO-SPR model has been developed in the literature that only considers meridional rays. This meridional model has proven its applicability in several publications using pass-through FO-SPR sensors. However, this simplified FO-SPR model fails to simulate back-reflecting FO-SPR sensors properly, where diffuse light is delivered and collected at the same optical fiber end. Here, it is shown that a generalized FO-SPR model that includes skew rays more accurately simulates the spectra obtained in back-reflecting FO-SPR sensors. With the changing incidence plane of a skew ray in mind, the generalized FO-SPR model was built with three-dimensional polarization ray-tracing calculus. The necessary angular ray distribution of the back-reflecting FO-SPR sensor was acquired by a Monte Carlo three-dimensional ray-tracing simulation. Next, the effect of including optical components and deviations and model optimization by adjusting the gold relative permittivity and thickness was evaluated. The generalized model simulated FO-SPR absorbances with smaller widths than the experimental FO-SPR absorbances. The cause of this difference in absorbance is unclear and demands more research. Nevertheless, the skew ray incorporation in the generalized FO-SPR model enabled its application to a greater diversity of FO-SPR sensors compared to the simplified FO-SPR model both as a predictive and an analytic tool in the development of FO-SPR sensors.
期刊介绍:
Plasmonics is an international forum for the publication of peer-reviewed leading-edge original articles that both advance and report our knowledge base and practice of the interactions of free-metal electrons, Plasmons.
Topics covered include notable advances in the theory, Physics, and applications of surface plasmons in metals, to the rapidly emerging areas of nanotechnology, biophotonics, sensing, biochemistry and medicine. Topics, including the theory, synthesis and optical properties of noble metal nanostructures, patterned surfaces or materials, continuous or grated surfaces, devices, or wires for their multifarious applications are particularly welcome. Typical applications might include but are not limited to, surface enhanced spectroscopic properties, such as Raman scattering or fluorescence, as well developments in techniques such as surface plasmon resonance and near-field scanning optical microscopy.