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Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

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Multifunctional Terahertz Biodetection Enabled by Resonant Metasurfaces.

Ride Wang¹, Ruan Hao¹, Dongxiao Li²

¹Innovation Laboratory of Terahertz Biophysics, National Innovation Institute of Defense Technology, Beijing, 100071, P. R. China.

Advanced Materials (Deerfield Beach, Fla.)

|March 10, 2025

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This study introduces a novel terahertz (THz) plasmonic biosensing platform for label-free biomolecule detection. The advanced sensor enables simultaneous, real-time analysis of multiple analytes in complex biological systems.

Area of Science:

Biophysics
Spectroscopy
Biosensing

Background:

Label-free detection of biomolecules is crucial for understanding biological systems.
Traditional micro/nanophotonic THz sensors face limitations like narrow resonance and solution interference.
Developing reliable, integrated biosensors for complex samples remains a challenge.

Purpose of the Study:

To propose a multifunctional THz plasmonic biosensing platform utilizing quasi-bound states in the continuum.
To enable noninvasive, in situ tracking of molecular dynamics in multi-analyte systems.
To overcome limitations of conventional THz sensors for enhanced biosensing applications.

Main Methods:

Designed a THz plasmonic biosensing platform with multiple interfering resonances.

Keywords:

biosensors deep learning microplasmonics resonances metasurfaces terahertz spectroscopy

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Last Updated: May 23, 2025

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

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Published on: March 23, 2017

Leveraged quasi-bound states in the continuum for broadband performance and reduced footprint.

Employed a reflectance method for real-time spectro-temporal data acquisition.

Main Results:

Demonstrated broadband performance and reduced sensor footprint compared to conventional methods.
Achieved simultaneous detection of diverse molecular vibrations at multiple spectral points.
Enabled real-time analysis of amino acid absorption during water evaporation, overcoming THz absorption band interference.
Developed a deep neural network for mixture composition prediction using spectro-temporal data.

Conclusions:

The proposed THz plasmonic platform offers a robust solution for label-free, in situ monitoring of biomolecules.
This approach facilitates the development of advanced biosensors for complex biological analyses and process exploration.
The integration with deep learning obviates the need for frequency scanning or microfluidics, paving the way for innovative biological tools.