High Water Content Prediction of Oil-Water Emulsions Based on Terahertz Electromagnetically Induced Transparency-like Metamaterial.

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ID: 32937
2019
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Abstract
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.
Reference Key
song2019highacs Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Song, Yan;Zhan, Honglei;Jiang, Chen;Zhao, Kun;Zhu, Jing;Chen, Ru;Hao, Shijie;Yue, Wenzheng;
Journal ACS omega
Year 2019
DOI
10.1021/acsomega.8b02802
URL
Keywords Keywords not found

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