Issue 12, 2022

Photoactive terahertz metasurfaces for ultrafast switchable sensing of colorectal cells

Abstract

Metasurfaces with a strongly enhanced local field are envisioned as a powerful platform for ultrasensitive optical sensors to significantly amplify imperceptible differences between compatible bioanalytes. Through the use of phototunable silicon-based terahertz (THz) metasurfaces, we experimentally demonstrate ultrafast switchable sensing functions. It is found that the THz responses of the coupled-resonances in the metasurfaces shift from Lorentz-lattice mode to electromagnetism-induced transparency (EIT) mode under optical pumping within an ultrashort time of 32 ps, enabling an ultrafast sensitive sensor. For the Lorentz-lattice mode, the THz time-domain signal directly shows a highly sensitive response to detect tiny analytes without extra Fourier transformation as the mismatch between the two modes increases. Once the metasurfaces are switched to the EIT mode, the silicon-metal hybrid structure supports frequency-domain sensing ability due to strong field confinement with a sensitivity of 118.4 GHz/RIU. Both of the sensing configurations contribute to more subtle information and guarantee the accuracy of the sensor performance. Combined with the aforementioned advantages, the proposed metasurfaces have successfully identified colorectal cells between normal, adenoma, and cancer states in experiments. This work furnishes a new paradigm of constructing reliable and flexible metasurface sensors and can be extended to other optics applications.

Graphical abstract: Photoactive terahertz metasurfaces for ultrafast switchable sensing of colorectal cells

Supplementary files

Article information

Article type
Communication
Submitted
23 Jun 2022
Accepted
31 Aug 2022
First published
01 Sep 2022

Mater. Horiz., 2022,9, 2984-2992

Photoactive terahertz metasurfaces for ultrafast switchable sensing of colorectal cells

Y. Jiao, J. Lou, Z. Ma, L. Cong, X. Xu, B. Zhang, D. Li, Y. Yu, W. Sun, Y. Yan, S. Hu, B. Liu, Y. Huang, L. Sun, R. Wang, R. Singh, Y. Fan, C. Chang and X. Du, Mater. Horiz., 2022, 9, 2984 DOI: 10.1039/D2MH00787H

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