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Wang, R, Xu, L 
ORCID: https://orcid.org/0000-0001-9071-4311, Wang, J, Sun, L, Jiao, Y, Meng, Y, Chen, S, Chang, C and Fan, C,
2021.
Electric Fano resonance-based terahertz metasensors.
Nanoscale.
ISSN 2040-3364
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Abstract
Sensing technologies based on terahertz (THz) waves have significant application prospects in fast imaging, free label, and non-invasive inspection methods. However, the main drawback limiting the performance of terahertz-based bio-chemical sensors is the weak interaction between the optical field and the analyte, leading to low sensitivity. Herein, we present an ultra-sensitive THz metasensor based on electric Fano resonant metasurface which consists of three gold microrods arranged periodically. The designed electric Fano resonance provides a strong near-field enhancement near the surface of our microstructure, significantly boosting light-analyte interactions and thus the sensitivity. Such an electric Fano resonance is formed by the interference between a leaky electric dipole resonance and a bounded toroidal dipole mode which is a symmetry-protected bound state in the continuum supported by the sub-diffractive periodic system here. A perturbation was introduced as a leakage channel in the form of a quasi-BIC to observe the infinite-Q-factor ideal BIC in the experiment, which was in accordance with the analogue one. Furthermore, the proposed structure could help distinguish extremely dilute concentrations (nM) of solutions, indicating its strong biosensing ability that relies on resonator enhancement in the near field intensifying the interaction between light and matter. Our results are expected to help realize a non-destructive and non-contact quantitative inspection of low-concentration solutions, providing a useful sensing approach for disease prevention and diagnosis.
| Item Type: | Journal article |
|---|---|
| Publication Title: | Nanoscale |
| Creators: | Wang, R., Xu, L., Wang, J., Sun, L., Jiao, Y., Meng, Y., Chen, S., Chang, C. and Fan, C. |
| Publisher: | Royal Society of Chemistry |
| Date: | 16 September 2021 |
| ISSN: | 2040-3364 |
| Identifiers: | Number Type 10.1039/d1nr04477j DOI 1486686 Other |
| Divisions: | Schools > School of Science and Technology |
| Record created by: | Jonathan Gallacher |
| Date Added: | 10 Nov 2021 09:57 |
| Last Modified: | 16 Sep 2022 03:00 |
| URI: | https://irep.ntu.ac.uk/id/eprint/44681 |
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