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Guided Mode Resonance Sensors with Optimized Figure of Merit

The guided mode resonance (GMR) effect is widely used in biosensing due to its advantages of narrow linewidth and high efficiency. However, the optimization of a figure of merit (FOM) has not been considered for most GMR sensors. Aimed at obtaining a higher FOM of GMR sensors, we proposed an effecti...

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Detalles Bibliográficos
Autores principales: Zhou, Yi, Wang, Bowen, Guo, Zhihe, Wu, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631114/
https://www.ncbi.nlm.nih.gov/pubmed/31159384
http://dx.doi.org/10.3390/nano9060837
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author Zhou, Yi
Wang, Bowen
Guo, Zhihe
Wu, Xiang
author_facet Zhou, Yi
Wang, Bowen
Guo, Zhihe
Wu, Xiang
author_sort Zhou, Yi
collection PubMed
description The guided mode resonance (GMR) effect is widely used in biosensing due to its advantages of narrow linewidth and high efficiency. However, the optimization of a figure of merit (FOM) has not been considered for most GMR sensors. Aimed at obtaining a higher FOM of GMR sensors, we proposed an effective design method for the optimization of FOM. Combining the analytical model and numerical simulations, the FOM of “grating–waveguide” GMR sensors for the wavelength and angular shift detection schemes were investigated systematically. In contrast with previously reported values, higher FOM values were obtained using this method. For the “waveguide–grating” GMR sensors, a linear relationship between the grating period and groove depth was obtained, which leads to excellent FOM values for both the angular and wavelength resonance. Such higher performance GMR sensors will pave the way to lower detection limits in biosensing.
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spelling pubmed-66311142019-08-19 Guided Mode Resonance Sensors with Optimized Figure of Merit Zhou, Yi Wang, Bowen Guo, Zhihe Wu, Xiang Nanomaterials (Basel) Article The guided mode resonance (GMR) effect is widely used in biosensing due to its advantages of narrow linewidth and high efficiency. However, the optimization of a figure of merit (FOM) has not been considered for most GMR sensors. Aimed at obtaining a higher FOM of GMR sensors, we proposed an effective design method for the optimization of FOM. Combining the analytical model and numerical simulations, the FOM of “grating–waveguide” GMR sensors for the wavelength and angular shift detection schemes were investigated systematically. In contrast with previously reported values, higher FOM values were obtained using this method. For the “waveguide–grating” GMR sensors, a linear relationship between the grating period and groove depth was obtained, which leads to excellent FOM values for both the angular and wavelength resonance. Such higher performance GMR sensors will pave the way to lower detection limits in biosensing. MDPI 2019-06-01 /pmc/articles/PMC6631114/ /pubmed/31159384 http://dx.doi.org/10.3390/nano9060837 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhou, Yi
Wang, Bowen
Guo, Zhihe
Wu, Xiang
Guided Mode Resonance Sensors with Optimized Figure of Merit
title Guided Mode Resonance Sensors with Optimized Figure of Merit
title_full Guided Mode Resonance Sensors with Optimized Figure of Merit
title_fullStr Guided Mode Resonance Sensors with Optimized Figure of Merit
title_full_unstemmed Guided Mode Resonance Sensors with Optimized Figure of Merit
title_short Guided Mode Resonance Sensors with Optimized Figure of Merit
title_sort guided mode resonance sensors with optimized figure of merit
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631114/
https://www.ncbi.nlm.nih.gov/pubmed/31159384
http://dx.doi.org/10.3390/nano9060837
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AT wangbowen guidedmoderesonancesensorswithoptimizedfigureofmerit
AT guozhihe guidedmoderesonancesensorswithoptimizedfigureofmerit
AT wuxiang guidedmoderesonancesensorswithoptimizedfigureofmerit