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On The Application of SiO(2)/SiC Grating on Ag for High-Performance Fiber Optic Plasmonic Sensing of Cortisol Concentration

This paper reports on high-accuracy simulation of a grating structure based fiber optic plasmonic sensor for salivary cortisol sensing. Gratings of SiO(2) and SiC (one at a time) in combination with a thin Ag layer are considered to be in direct contact with analyte medium (solutions containing diff...

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Autores principales: Pandey, Ankit Kumar, Sharma, Anuj K., Marques, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178356/
https://www.ncbi.nlm.nih.gov/pubmed/32244720
http://dx.doi.org/10.3390/ma13071623
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author Pandey, Ankit Kumar
Sharma, Anuj K.
Marques, Carlos
author_facet Pandey, Ankit Kumar
Sharma, Anuj K.
Marques, Carlos
author_sort Pandey, Ankit Kumar
collection PubMed
description This paper reports on high-accuracy simulation of a grating structure based fiber optic plasmonic sensor for salivary cortisol sensing. Gratings of SiO(2) and SiC (one at a time) in combination with a thin Ag layer are considered to be in direct contact with analyte medium (solutions containing different concentrations of cortisol) considering that the groove regions are also filled with analyte. The optimization of Ag layer thickness is carried out to achieve maximum power loss (PL) corresponding to cortisol concentration variation. The variation of PL (in dB) spectra with the angle of incidence (α) is the sensing mechanism of the proposed scheme. Sensing performance is extensively analyzed in terms of sensitivity, limit-of-detection (LOD) and figure-of-merit (FOM) that incorporates both the sensitivity and the width of the corresponding PL curves. While the sensitivity and FOM values are significantly large, the results also reveal that in angular interrogation mode (AIM), an average LOD of 9.9 pg/mL and 9.8 pg/mL is obtained for SiO(2) and SiC-based sensor designs, respectively. When the intensity interrogation method (IIM) in place of AIM is considered, an average LOD of 22.6 fg/mL and 68.17 fg/mL is obtained for SiO(2) and SiC-based sensor designs, respectively. LOD (with IIM, in particular) is considerably better than the present-state-of-art related to cortisol monitoring. Pragmatic model for possible practical implementation of sensor scheme is also discussed. The involvement of optical fiber in the proposed sensor design makes it possible to implement it as a flexible sensor or for wearable solution for cortisol detection via sweat monitoring as well as for measuring cortisol level in aquaculture tanks where concentration levels are much lower than 10 ng/mL.
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spelling pubmed-71783562020-04-28 On The Application of SiO(2)/SiC Grating on Ag for High-Performance Fiber Optic Plasmonic Sensing of Cortisol Concentration Pandey, Ankit Kumar Sharma, Anuj K. Marques, Carlos Materials (Basel) Article This paper reports on high-accuracy simulation of a grating structure based fiber optic plasmonic sensor for salivary cortisol sensing. Gratings of SiO(2) and SiC (one at a time) in combination with a thin Ag layer are considered to be in direct contact with analyte medium (solutions containing different concentrations of cortisol) considering that the groove regions are also filled with analyte. The optimization of Ag layer thickness is carried out to achieve maximum power loss (PL) corresponding to cortisol concentration variation. The variation of PL (in dB) spectra with the angle of incidence (α) is the sensing mechanism of the proposed scheme. Sensing performance is extensively analyzed in terms of sensitivity, limit-of-detection (LOD) and figure-of-merit (FOM) that incorporates both the sensitivity and the width of the corresponding PL curves. While the sensitivity and FOM values are significantly large, the results also reveal that in angular interrogation mode (AIM), an average LOD of 9.9 pg/mL and 9.8 pg/mL is obtained for SiO(2) and SiC-based sensor designs, respectively. When the intensity interrogation method (IIM) in place of AIM is considered, an average LOD of 22.6 fg/mL and 68.17 fg/mL is obtained for SiO(2) and SiC-based sensor designs, respectively. LOD (with IIM, in particular) is considerably better than the present-state-of-art related to cortisol monitoring. Pragmatic model for possible practical implementation of sensor scheme is also discussed. The involvement of optical fiber in the proposed sensor design makes it possible to implement it as a flexible sensor or for wearable solution for cortisol detection via sweat monitoring as well as for measuring cortisol level in aquaculture tanks where concentration levels are much lower than 10 ng/mL. MDPI 2020-04-01 /pmc/articles/PMC7178356/ /pubmed/32244720 http://dx.doi.org/10.3390/ma13071623 Text en © 2020 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
Pandey, Ankit Kumar
Sharma, Anuj K.
Marques, Carlos
On The Application of SiO(2)/SiC Grating on Ag for High-Performance Fiber Optic Plasmonic Sensing of Cortisol Concentration
title On The Application of SiO(2)/SiC Grating on Ag for High-Performance Fiber Optic Plasmonic Sensing of Cortisol Concentration
title_full On The Application of SiO(2)/SiC Grating on Ag for High-Performance Fiber Optic Plasmonic Sensing of Cortisol Concentration
title_fullStr On The Application of SiO(2)/SiC Grating on Ag for High-Performance Fiber Optic Plasmonic Sensing of Cortisol Concentration
title_full_unstemmed On The Application of SiO(2)/SiC Grating on Ag for High-Performance Fiber Optic Plasmonic Sensing of Cortisol Concentration
title_short On The Application of SiO(2)/SiC Grating on Ag for High-Performance Fiber Optic Plasmonic Sensing of Cortisol Concentration
title_sort on the application of sio(2)/sic grating on ag for high-performance fiber optic plasmonic sensing of cortisol concentration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178356/
https://www.ncbi.nlm.nih.gov/pubmed/32244720
http://dx.doi.org/10.3390/ma13071623
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