Sensing Avian Influenza Viruses Using Terahertz Metamaterial Reflector

Keshavarz, Alireza; Vafapour, Zohreh

doi:10.1109/jsen.2019.2903731

Cited by 107 publications

(61 citation statements)

References 48 publications

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“…However, the monolayer graphene performs poorly at absorbing light in the visible and near infrared bands, with a mere 2.3% [12][13][14], which limits the quantum efficiency and application in optoelectronic devices. Fortunately, researchers have confirmed that graphene supports surface plasmon resonance (SPR) in the far infrared and terahertz bands [15][16][17][18][19][20][21], enhancing the absorption and broadening the application scope of graphene in optoelectronic and photoelectric devices, such as in modulators, 2 of 13 filters, photoelectric detectors, optical switches, and biosensors [22][23][24][25][26][27][28][29]. Correspondingly, the lack of diversity of graphene-based photoelectric devices in the visible and near-infrared regions has received more urgent attention.…”

Section: Introductionmentioning

confidence: 99%

A Narrow Dual-Band Monolayer Unpatterned Graphene-Based Perfect Absorber with Critical Coupling in the Near Infrared

Chen

et al. 2020

Micromachines

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The combination of critical coupling and coupled mode theory in this study elevated the absorption performance of a graphene-based absorber in the near-infrared band, achieving perfect absorption in the double bands (98.96% and 98.22%), owing to the guided mode resonance (the coupling of the leak mode and guided mode under the condition of phase matching, which revealed 100% transmission or reflection efficiency in the wavelet band), and a third high-efficiency absorption (91.34%) emerged. During the evaluation of the single-structure, cross-circle-shaped absorber via simulation and theoretical analysis, the cross-circle shaped absorber assumed a conspicuous preponderance through exploring the correlation between absorption and tunable parameters (period, geometric measure, and incident angle of the cross-circle absorber), and by briefly analyzing the quality factors and universal applicability. Hence, the cross-circle resonance structure provides novel potential for the design of a dual-band unpatterned graphene perfect absorber in the near-infrared band, and possesses practical application significance in photoelectric detectors, modulators, optical switching, and numerous other photoelectric devices.

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Section: Introductionmentioning

confidence: 99%

A Narrow Dual-Band Monolayer Unpatterned Graphene-Based Perfect Absorber with Critical Coupling in the Near Infrared

Chen

et al. 2020

Micromachines

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“…Three subtypes of Avian Influenza (AI) viruses, namely, H1N1, H5N2, and H9N2 viruses, were tested on the surface. The resonant frequency for H1N1, H5N2 and H9N2 were 1.668 THz, 1.665 THz and1.641 THz, and the magnitude of the reflection were 61.4%, 67% and 60.9%, respectively [40]. Zhao et al proposed THz metamaterial-based reflection spectroscopy for label-free sensing of living cells by a self-referenced method.…”

Section: Treatment Of Biomedical Samplementioning

confidence: 99%

Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

et al. 2020

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With the non-ionizing, non-invasive, high penetration, high resolution and spectral fingerprinting features of terahertz (THz) wave, THz spectroscopy has great potential for the qualitative and quantitative identification of key substances in biomedical field, such as the early diagnosis of cancer, the accurate boundary determination of pathological tissue and non-destructive detection of superficial tissue. However, biological samples usually contain various of substances (such as water, proteins, fat and fiber), resulting in the signal-to-noise ratio (SNR) for the absorption peaks of target substances are very small and then the target substances are hard to be identified. Here, we present recent works for the SNR improvement of THz signal. These works include the usage of attenuated total reflection (ATR) spectroscopy, the fabrication of sample-sensitive metamaterials, the utilization of different agents (including contrast agents, optical clearing agents and aptamers), the application of reconstruction algorithms and the optimization of THz spectroscopy system. These methods have been proven to be effective theoretically, but only few of them have been applied into actual usage. We also analyze the reasons and summarize the advantages and disadvantages of each method. At last, we present the prospective application of THz spectroscopy in biomedical field.

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“…To solve some of the issues associated with the surface plasmon sensors, low profile plasmonic metasurfaces were introduced in the field of biosensing [ 27 , 28 ]. The metasurfaces offer higher sensitivity because of the excitement of localized high intensity surface plasmons.…”

Section: Introductionmentioning

confidence: 99%

A THz graphene metasurface for polarization selective virus sensing

Amin

Siddiqui

Abutarboush

et al. 2021

Carbon

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We propose a novel method to exploit chirality of highly sensitive graphene plasmonic metasurfaces to characterize complex refractive indexes (RI) of viruses by detecting the polarization state of the reflected electric fields in the THz spectrum. A dispersive graphene metasurface is designed to produce chiral surface currents to couple linearly polarized incident fields to circularly polarized reflected fields. The metasurface sensing sensitivity is the result of surface plasmon currents that flow in a chiral fashion with strong intensity due to the underlying geometrical resonance. Consequently, unique polarization states are observed in the far-field with the ellipticity values that change rapidly with the analyte’s RI. The determination of bimolecular RI is treated as an inverse problem in which the polarization states of the virus is compared with a pre-calculated calibration model that is obtained by full-wave electromagnetic simulations. We demonstrate the polarization selective sensing method by RI discrimination of three different types of Avian Influenza (AI) viruses including H1N1, H5N2, and H9N2 is possible. Since the proposed virus characterization method only requires determination of the polarization ellipses including its orientation at monochromatic frequency, the required instrumentation is simpler compared to traditional spectroscopic methods which need a broadband frequency scan.

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Sensing Avian Influenza Viruses Using Terahertz Metamaterial Reflector

Cited by 107 publications

References 48 publications

A Narrow Dual-Band Monolayer Unpatterned Graphene-Based Perfect Absorber with Critical Coupling in the Near Infrared

A Narrow Dual-Band Monolayer Unpatterned Graphene-Based Perfect Absorber with Critical Coupling in the Near Infrared

Terahertz spectroscopy in biomedical field: a review on signal-to-noise ratio improvement

A THz graphene metasurface for polarization selective virus sensing

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