Wearable graphene-patterned gas detection sensor

A wearable graphene-based bio-sensor is proposed in this work. The operational frequency range is the THz gap while the sensor includes a golden bottom, Kapton spacer, and periodic arrays of graphene disks and ribbons. The structure is exclusively represented by an impedance that can predict absorption versus frequency. Additionally, a parallel full wave simulation is performed to investigate the equivalent circuit model (ECM) validation. According to the reported simulation results, the proposed graphene-based sensor leverages both design methodology and sensible response to probable toxic gas existence. This stems from highly sensitive behavior against variations in the surrounding environment’s refractive index. The proposed graphene-based sensor is capable of showing perfect absorption peaks @ 2.5 THz, 5.5 THz, and 8.5 THz while each peak possesses 0.2 THz width. Ample results are provided to explore the sensor sensitivity against design parameters including the structure geometry, physical constants, and external stimulation. Additionally, carbon monoxide is considered to pollute the space with different concentrations. The sensor responses for this situation are investigated from 0 to 400 ppm and interpreted. It shows that a 100 ppm variation of carbon monoxide causes about a 1THz frequency shift. Such a highly sensitive optical sensor is in great demand for realizing healthcare monitoring systems.

Authors

Institutions

Publication Details

Journal
Results in Optics
Published
2025-08-04
DOI
https://doi.org/10.1016/j.rio.2025.100876
Citations
3
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
2.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wearable graphene-patterned gas detection sensor

Toktam Aghaee, Amir Ali Mohammad Khani, Ilghar Rezaei, Alireza Barati Haghverdi et al.
3 citations
Results in Optics
Gas Sensing Nanomaterials and Sensors
2.19
article

Wearable graphene-patterned gas detection sensor

Toktam Aghaee, Amir Ali Mohammad Khani, Ilghar Rezaei, Alireza Barati Haghverdi, Mohammadreza Nehzati
article en
3 citations

Abstract

A wearable graphene-based bio-sensor is proposed in this work. The operational frequency range is the THz gap while the sensor includes a golden bottom, Kapton spacer, and periodic arrays of graphene disks and ribbons. The structure is exclusively represented by an impedance that can predict absorption versus frequency. Additionally, a parallel full wave simulation is performed to investigate the equivalent circuit model (ECM) validation. According to the reported simulation results, the proposed graphene-based sensor leverages both design methodology and sensible response to probable toxic gas existence. This stems from highly sensitive behavior against variations in the surrounding environment’s refractive index. The proposed graphene-based sensor is capable of showing perfect absorption peaks @ 2.5 THz, 5.5 THz, and 8.5 THz while each peak possesses 0.2 THz width. Ample results are provided to explore the sensor sensitivity against design parameters including the structure geometry, physical constants, and external stimulation. Additionally, carbon monoxide is considered to pollute the space with different concentrations. The sensor responses for this situation are investigated from 0 to 400 ppm and interpreted. It shows that a 100 ppm variation of carbon monoxide causes about a 1THz frequency shift. Such a highly sensitive optical sensor is in great demand for realizing healthcare monitoring systems.

Results in OpticsVol. 21
Islamic Azad University South Tehran Branch (IR), Islamic Azad University Central Tehran Branch (IR), Islamic Azad University Saveh (IR), Semnan University (IR)
Affordable and clean energy
Openalex Percentile: Top 11%
Gas Sensing Nanomaterials and Sensors
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.