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A novel simulador for agile and graphical modeling of surface plasmon resonance based sensors

Surface plasmon resonance (SPR) sensor is a consolidated technology for analysis of biomolecular interaction, largely applied in biology and pharmaceutical research. The simulation of the surface plasmon optical excitation response is an important step in the development process of SPR based sensors...

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Autores principales: Gomes, Julio C. M., Oliveira, Leiva C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622535/
https://www.ncbi.nlm.nih.gov/pubmed/37919312
http://dx.doi.org/10.1038/s41598-023-46115-x
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author Gomes, Julio C. M.
Oliveira, Leiva C.
author_facet Gomes, Julio C. M.
Oliveira, Leiva C.
author_sort Gomes, Julio C. M.
collection PubMed
description Surface plasmon resonance (SPR) sensor is a consolidated technology for analysis of biomolecular interaction, largely applied in biology and pharmaceutical research. The simulation of the surface plasmon optical excitation response is an important step in the development process of SPR based sensors. The structure, design and configuration of the desired sensor benefits from a previous simulated analyses of the generated responses, defining operational conditions and feasibility of the selected materials to composed the optical coupling layers. Here an online web-based SPR sensor’s simulator is presented. With a visual-oriented interface, enable drag & drop actions to easily and quickly model a variety of sensor arrangements. Presenting an embedded materials database for metals, glasses, 2D materials, nanoparticles, polymers, and custom substances, the simulator enables flexible configuration for sensors operating in angular and spectral modes, as well as localized SPR. The light propagation through the multilayer of materials is presented in terms of Fresnel coefficients, which are graphically displayed. The so-called SPR morphology parameters can be visualized. Moreover, sensor dynamic behavior could be knowledge by a Sensorgram simulation. Localized surface plasmon resonance (LSPR) in homogeneous and spherical nanoparticles is also present in the simulator. Simulated scenario’s in various configurations, designs and excitation were performed and compare with other simulator. The proposed simulator guarantees comparable results with low-code, agile, and intuitive flow of execution.
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spelling pubmed-106225352023-11-04 A novel simulador for agile and graphical modeling of surface plasmon resonance based sensors Gomes, Julio C. M. Oliveira, Leiva C. Sci Rep Article Surface plasmon resonance (SPR) sensor is a consolidated technology for analysis of biomolecular interaction, largely applied in biology and pharmaceutical research. The simulation of the surface plasmon optical excitation response is an important step in the development process of SPR based sensors. The structure, design and configuration of the desired sensor benefits from a previous simulated analyses of the generated responses, defining operational conditions and feasibility of the selected materials to composed the optical coupling layers. Here an online web-based SPR sensor’s simulator is presented. With a visual-oriented interface, enable drag & drop actions to easily and quickly model a variety of sensor arrangements. Presenting an embedded materials database for metals, glasses, 2D materials, nanoparticles, polymers, and custom substances, the simulator enables flexible configuration for sensors operating in angular and spectral modes, as well as localized SPR. The light propagation through the multilayer of materials is presented in terms of Fresnel coefficients, which are graphically displayed. The so-called SPR morphology parameters can be visualized. Moreover, sensor dynamic behavior could be knowledge by a Sensorgram simulation. Localized surface plasmon resonance (LSPR) in homogeneous and spherical nanoparticles is also present in the simulator. Simulated scenario’s in various configurations, designs and excitation were performed and compare with other simulator. The proposed simulator guarantees comparable results with low-code, agile, and intuitive flow of execution. Nature Publishing Group UK 2023-11-02 /pmc/articles/PMC10622535/ /pubmed/37919312 http://dx.doi.org/10.1038/s41598-023-46115-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gomes, Julio C. M.
Oliveira, Leiva C.
A novel simulador for agile and graphical modeling of surface plasmon resonance based sensors
title A novel simulador for agile and graphical modeling of surface plasmon resonance based sensors
title_full A novel simulador for agile and graphical modeling of surface plasmon resonance based sensors
title_fullStr A novel simulador for agile and graphical modeling of surface plasmon resonance based sensors
title_full_unstemmed A novel simulador for agile and graphical modeling of surface plasmon resonance based sensors
title_short A novel simulador for agile and graphical modeling of surface plasmon resonance based sensors
title_sort novel simulador for agile and graphical modeling of surface plasmon resonance based sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622535/
https://www.ncbi.nlm.nih.gov/pubmed/37919312
http://dx.doi.org/10.1038/s41598-023-46115-x
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