Polarization-insensitive terahertz antibiotic sensor based on a compact structure

Efficient antibiotic detection in biological and environmental samples is crucial for public health and safety, but traditional methods face limitations in sensitivity and stability, making the development of robust, polarization-insensitive terahertz (THz) sensors a vital challenge. A polarization-insensitive terahertz (THz) antibiotic sensor is proposed by employing a graphene-based metamaterial structure, offering significant enhancements in sensitivity and operational stability. The sensor design features graphene resonators integrated with a quartz substrate, utilizing its low-loss properties and dynamic tunability. The design is optimized for maximum electromagnetically induced transparency (EIT) effect in the THz range, ensuring consistent performance under varying electromagnetic conditions. The sensor achieves over 500 GHz/refractive index unit (RIU) sensitivity under both x and y polarization states. Graphene's tunability allows for effective response adjustment across a broad frequency bandwidth, essential for diverse antibiotic detection. This graphene-enhanced sensor marks a significant advance in the THz sensing, offering high sensitivity, extensive tunability, and polarization insensitivity, making it suitable for complex biomolecular detection in medical diagnostics and environmental monitoring.

Authors

Institutions

Publication Details

Journal
Applied Optics
Published
2025-05-02
DOI
https://doi.org/10.1364/ao.559407
Citations
3
Primary Topic
Terahertz technology and applications
Type
article
Field-Weighted Citation Impact
2.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Polarization-insensitive terahertz antibiotic sensor based on a compact structure

Guoliang Yang, Binggang Xiao, Jianyuan Qin, Luqi Liu et al.
3 citations
Applied Optics
Terahertz technology and applications
2.19
article

Polarization-insensitive terahertz antibiotic sensor based on a compact structure

Guoliang Yang, Binggang Xiao, Jianyuan Qin, Luqi Liu, Lihua Xiao, Yichun Wang, Wanshun Jiang, Zuo Xiurran
article en
3 citations

Abstract

Efficient antibiotic detection in biological and environmental samples is crucial for public health and safety, but traditional methods face limitations in sensitivity and stability, making the development of robust, polarization-insensitive terahertz (THz) sensors a vital challenge. A polarization-insensitive terahertz (THz) antibiotic sensor is proposed by employing a graphene-based metamaterial structure, offering significant enhancements in sensitivity and operational stability. The sensor design features graphene resonators integrated with a quartz substrate, utilizing its low-loss properties and dynamic tunability. The design is optimized for maximum electromagnetically induced transparency (EIT) effect in the THz range, ensuring consistent performance under varying electromagnetic conditions. The sensor achieves over 500 GHz/refractive index unit (RIU) sensitivity under both x and y polarization states. Graphene's tunability allows for effective response adjustment across a broad frequency bandwidth, essential for diverse antibiotic detection. This graphene-enhanced sensor marks a significant advance in the THz sensing, offering high sensitivity, extensive tunability, and polarization insensitivity, making it suitable for complex biomolecular detection in medical diagnostics and environmental monitoring.

Applied OpticsVol. 64(16)
Wuhan College (CN), Central Hospital of Wuhan (CN), Zhejiang University of Technology (CN)
Key Technologies Research and Development Program
Affordable and clean energy
Openalex Percentile: Top 12%
Terahertz technology and applications
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.