Simulation on biomarker sensor miniaturization based on metamaterial

Ruitao Liu; Tianhong Cui

doi:10.1142/S0217984919501355

Simulation on biomarker sensor miniaturization based on metamaterial

Ruitao Liu, Tianhong Cui

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Cancer is always the greatest threat to human health. In this work, a split-ring resonator (SRR)-based sensor was simulated for label-free detection on biomarkers in microwave. The model of biosensor was simulated by Computer Simulation Technology 2017 (CST2017) and some influences of feature parameters on resonance frequency and Q-factor were also discussed. From the simulation results, the model of sensor in our work showed ultrahigh Q-factor and sensitivity under different permittivities and also exhibited a trend of better performance when it works in higher frequency. Therefore, the SRR-based biosensor will become an important application in cancer precaution and treatment in the future.

Original language	English (US)
Article number	1950135
Journal	Modern Physics Letters B
Volume	33
Issue number	11
DOIs	https://doi.org/10.1142/S0217984919501355
State	Published - Apr 20 2019
Externally published	Yes

Bibliographical note

Funding Information:
This work was partially supported by the State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, China.

Publisher Copyright:
© 2019 World Scientific Publishing Company.

Keywords

CST simulation
SRR
biomarker detector
metamaterial

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Simulation on biomarker sensor miniaturization based on metamaterial",

abstract = "Cancer is always the greatest threat to human health. In this work, a split-ring resonator (SRR)-based sensor was simulated for label-free detection on biomarkers in microwave. The model of biosensor was simulated by Computer Simulation Technology 2017 (CST2017) and some influences of feature parameters on resonance frequency and Q-factor were also discussed. From the simulation results, the model of sensor in our work showed ultrahigh Q-factor and sensitivity under different permittivities and also exhibited a trend of better performance when it works in higher frequency. Therefore, the SRR-based biosensor will become an important application in cancer precaution and treatment in the future.",

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AU - Cui, Tianhong

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N2 - Cancer is always the greatest threat to human health. In this work, a split-ring resonator (SRR)-based sensor was simulated for label-free detection on biomarkers in microwave. The model of biosensor was simulated by Computer Simulation Technology 2017 (CST2017) and some influences of feature parameters on resonance frequency and Q-factor were also discussed. From the simulation results, the model of sensor in our work showed ultrahigh Q-factor and sensitivity under different permittivities and also exhibited a trend of better performance when it works in higher frequency. Therefore, the SRR-based biosensor will become an important application in cancer precaution and treatment in the future.

AB - Cancer is always the greatest threat to human health. In this work, a split-ring resonator (SRR)-based sensor was simulated for label-free detection on biomarkers in microwave. The model of biosensor was simulated by Computer Simulation Technology 2017 (CST2017) and some influences of feature parameters on resonance frequency and Q-factor were also discussed. From the simulation results, the model of sensor in our work showed ultrahigh Q-factor and sensitivity under different permittivities and also exhibited a trend of better performance when it works in higher frequency. Therefore, the SRR-based biosensor will become an important application in cancer precaution and treatment in the future.

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Simulation on biomarker sensor miniaturization based on metamaterial

Abstract

Bibliographical note

Keywords

UN SDGs

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