High Water Content Prediction of Oil–Water Emulsions Based on Terahertz Electromagnetically Induced Transparency-like Metamaterial
[Image: see text] This work aims to investigate the electromagnetically induced transparency-like (EIT-like) metamaterial for high water cut emulsions’ detection in the terahertz band. The electromagnetic responses of the selected metamaterial covering emulsions exhibit red-shifted resonant frequenc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6648462/ https://www.ncbi.nlm.nih.gov/pubmed/31459435 http://dx.doi.org/10.1021/acsomega.8b02802 |
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author | Song, Yan Zhan, Honglei Jiang, Chen Zhao, Kun Zhu, Jing Chen, Ru Hao, Shijie Yue, Wenzheng |
author_facet | Song, Yan Zhan, Honglei Jiang, Chen Zhao, Kun Zhu, Jing Chen, Ru Hao, Shijie Yue, Wenzheng |
author_sort | Song, Yan |
collection | PubMed |
description | [Image: see text] This work aims to investigate the electromagnetically induced transparency-like (EIT-like) metamaterial for high water cut emulsions’ detection in the terahertz band. The electromagnetic responses of the selected metamaterial covering emulsions exhibit red-shifted resonant frequency with increasing water volume from 60 to 98%. Three numerical models coinciding with theory analysis were built based on the extracted resonant frequencies at the transmission peak and dips to predict water concentration. The results show that the built models accurately predicted the water content with absolute errors less than 0.26, 0.41, and 0.24%, respectively. The EIT-like resonance is introduced by coupled bright and dark modes, making it similar to a weakened plasma resonance. Consequently, the permittivity-dependent frequency would help develop both economically feasible and socially beneficial sensors for high water content prediction. |
format | Online Article Text |
id | pubmed-6648462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-66484622019-08-27 High Water Content Prediction of Oil–Water Emulsions Based on Terahertz Electromagnetically Induced Transparency-like Metamaterial Song, Yan Zhan, Honglei Jiang, Chen Zhao, Kun Zhu, Jing Chen, Ru Hao, Shijie Yue, Wenzheng ACS Omega [Image: see text] This work aims to investigate the electromagnetically induced transparency-like (EIT-like) metamaterial for high water cut emulsions’ detection in the terahertz band. The electromagnetic responses of the selected metamaterial covering emulsions exhibit red-shifted resonant frequency with increasing water volume from 60 to 98%. Three numerical models coinciding with theory analysis were built based on the extracted resonant frequencies at the transmission peak and dips to predict water concentration. The results show that the built models accurately predicted the water content with absolute errors less than 0.26, 0.41, and 0.24%, respectively. The EIT-like resonance is introduced by coupled bright and dark modes, making it similar to a weakened plasma resonance. Consequently, the permittivity-dependent frequency would help develop both economically feasible and socially beneficial sensors for high water content prediction. American Chemical Society 2019-01-22 /pmc/articles/PMC6648462/ /pubmed/31459435 http://dx.doi.org/10.1021/acsomega.8b02802 Text en Copyright © 2019 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Song, Yan Zhan, Honglei Jiang, Chen Zhao, Kun Zhu, Jing Chen, Ru Hao, Shijie Yue, Wenzheng High Water Content Prediction of Oil–Water Emulsions Based on Terahertz Electromagnetically Induced Transparency-like Metamaterial |
title | High Water Content Prediction of Oil–Water Emulsions Based
on Terahertz Electromagnetically Induced Transparency-like Metamaterial |
title_full | High Water Content Prediction of Oil–Water Emulsions Based
on Terahertz Electromagnetically Induced Transparency-like Metamaterial |
title_fullStr | High Water Content Prediction of Oil–Water Emulsions Based
on Terahertz Electromagnetically Induced Transparency-like Metamaterial |
title_full_unstemmed | High Water Content Prediction of Oil–Water Emulsions Based
on Terahertz Electromagnetically Induced Transparency-like Metamaterial |
title_short | High Water Content Prediction of Oil–Water Emulsions Based
on Terahertz Electromagnetically Induced Transparency-like Metamaterial |
title_sort | high water content prediction of oil–water emulsions based
on terahertz electromagnetically induced transparency-like metamaterial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6648462/ https://www.ncbi.nlm.nih.gov/pubmed/31459435 http://dx.doi.org/10.1021/acsomega.8b02802 |
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