Highly sensitive quarter-mode spoof localized plasmonic resonator for dual-detection RF microfluidic chemical sensor

Gholamian, Meysam; Shabanpour, Javad; Cheldavi, A.

doi:10.1088/1361-6463/ab6670

Cited by 19 publications

(13 citation statements)

References 53 publications

(50 reference statements)

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“…The former sensors are smaller, can assess smaller sample volumes, have higher sensitivity than the latter, and do not require additional circuit parts. Moreover, conventional spoof SP-or LSP-based sensors have higher sensitivity to permittivity than sensors based on other methods because of the near-field enhancement [32][33][34][35]. 1 Measured value with only the sensor without any additional parts.…”

Section: Performance Comparison Of the Sensorsmentioning

confidence: 99%

Millimeter-Wave-Based Spoof Localized Surface Plasmonic Resonator for Sensing Glucose Concentration

2021

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Glucose-monitoring sensors are necessary and have been extensively studied to prevent and control health problems caused by diabetes. Spoof localized surface plasmon (LSP) resonance sensors have been investigated for chemical sensing and biosensing. A spoof LSP has similar characteristics to an LSP in the microwave or terahertz frequency range but with certain advantages, such as a high-quality factor and improved sensitivity. In general, microwave spoof LSP resonator-based glucose sensors have been studied. In this study, a millimeter-wave-based spoof surface plasmonic resonator sensor is designed to measure glucose concentrations. The millimeter-wave-based sensor has a smaller chip size and higher sensitivity than microwave-frequency sensors. Therefore, the microfluidic channel was designed to be reusable and able to operate with a small sample volume. For alignment, a polydimethylsiloxane channel was simultaneously fabricated using a multilayer bonding film to attach the upper side of the pattern, which is concentrated in the electromagnetic field. This real-time sensor detects the glucose concentration via changes in the S11 parameter and operates at 28 GHz with an average sensitivity of 0.015669 dB/(mg/dL) within the 0–300 mg/dL range. The minimum detectable concentration and the distinguishable signal are 1 mg/dL and 0.015669 dB, respectively, from a 3.4 μL sample. The reusability and reproducibility were assessed through replicates.

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Section: Performance Comparison Of the Sensorsmentioning

confidence: 99%

Millimeter-Wave-Based Spoof Localized Surface Plasmonic Resonator for Sensing Glucose Concentration

2021

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“…Metamaterials, composed of subwavelength periodic or nonperiodic geometric arrays, have attracted widespread attention due to their peculiar assets to modify the permittivity and permeability 1,2,[27][28][29] . Recently, many novel functionalities have been implemented by metamaterials and their 2D counterpart, metasurfaces, such as intelligent surfaces for communication 3,4 , real-time wavefront manipulation 5-8 , perfect absorption 9,10 , and machine learning metasurface design 11,12 .…”

Section: Introductionmentioning

confidence: 99%

A deep learning approach for inverse design of the metasurface for dual-polarized waves

Ghorbani,

Shabanpour,

Beyraghi

et al. 2021

Preprint

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Compared to the conventional metasurface design, machine learning-based methods have recently created an inspiring platform for an inverse realization of the metasurfaces. Here, we have used the Deep Neural Network (DNN) for generation of desired output unit cell structures in an ultra-wide working frequency band for both TE and TM polarized waves. To automatically generate metasurfaces in a wide range of working frequencies from 4 to 45 GHz, we deliberately design an 8 ring-shaped pattern in such a way that the unit-cells generated in the dataset can produce single or multiple notches in the desired working frequency band. Compared to the general approach, whereby the final metasurface structure may be formed by any randomly distributed "0" and "1", we propose here a restricted output structure. By restricting the output, the amount of calculations will be reduced and the learning speed will be increased. Moreover, we have shown that the accuracy of the network reaches 91%. Obtaining the final unit cell directly without any time-consuming optimization algorithms for both TE and TM polarized waves, and high average accuracy, promises an effective strategy for the metasurface design; thus, the designer is required only to focus on the design goal. I. INTRODUCTIONMetamaterials, composed of subwavelength periodic or nonperiodic geometric arrays, have attracted widespread attention due to their peculiar assets to modify the permittivity and permeability 1,2,[27][28][29] . Recently, many novel functionalities have been implemented by metamaterials and their 2D counterpart, metasurfaces, such as intelligent surfaces for communication 3,4 , real-time wavefront manipulation 5-8 , perfect absorption 9,10 , and machine learning metasurface design 11,12 .However, all of these works are founded on conventional approaches including trial-and-error methods, brute force optimization methods, and parameter sweep, which are timeconsuming processes. Therefore, to solve the above challenges and to find a fast, effective, and automated route for metasurface design, we have benefited from machine learning. Deep learning is an efficient approach for learning the relationship between input and target data from the samples of past experiences. To be more specific, deep learning as a specific branch of machine learning can infer the basic rules based on formerly specified data; then, for another given input, the designed network can make reasonable decisions. With the ever-increasing growth of machine learning and its potential applications to address some important problems such as signal processing 13 and through the wall imaging 14 , we are now witnessing the opening of machine learning in wave-interaction phenomena. Owing to its potential capacity to provide higher accuracy, less design time, and improve the efficiency of a design process, machine learning has been introduced in numerous electromagnetic phenomena, for instance, all-dielectric metasurfaces 15 , antenna design 16,17 , acoustic metamaterials 18,19 , and computational el...

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“…Artificial metamaterials composed of subwavelength engineered scatterers have attracted massive attention owing to their abilities to modify the permittivity and permeability values to reach beyond those of composite materials found in nature, which may be structured for complex manipulation of electromagnetic (EM) waves 1 – 4 . The metamaterial absorbers (MMA), as an interesting application of metamaterials, have become a research hotspot in the past decade and have also been of great interest for solving electromagnetic interference problems, such as the stealth technologies, solar cells and sensor applications 5 – 8 . In 2008, Landy et al introduced the first perfect MMA in which electric and magnetic resonances were generated in a narrow frequency band around 11.65 GHz 9 .…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable honeycomb metamaterial absorber having incident angular stability

Shabanpour

Beyraghi

Oraizi

2020

Sci Rep

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Ultrawide-angle electromagnetic wave absorbers with excellent mechanical properties are required in many diverse applications such as sensing, and stealth technologies. Here, a novel 3D reconfigurable metamaterial absorber (MMA) consisting of honeycomb and VO2 films is proposed. The proposed MMA exhibits a strong absorptivity above 90% in the widest incident angle up to $$87^\circ $$ 87 ∘ for TM- and TE polarized oblique incidences for THz wave propagating in yoz-plane. Under normal incidence, when VO2 films are in the insulating state, the proposed absorber exhibits high absorptivity in the frequency band of 1–4 THz. By increasing the temperature of the whole structure, the structural transformation of VO2 occurs and turns into the metallic phase. We have shown that under oblique incidence, the ohmic losses of VO2 films especially those parallel to the direction of the incident electric field are the most important absorption principles of the proposed MMA. Due to the ultra wide-angle absorption (angular stability) and mechanical performance, it is expected that the presented MMA may find potential applications, such as camouflage technologies, electromagnetic interference, imaging, and sensing. To the best knowledge of authors, the proposed MMA configuration exhibits the absorptivity in the widest incident angle ever reported.

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Highly sensitive quarter-mode spoof localized plasmonic resonator for dual-detection RF microfluidic chemical sensor

Cited by 19 publications

References 53 publications

Millimeter-Wave-Based Spoof Localized Surface Plasmonic Resonator for Sensing Glucose Concentration

Millimeter-Wave-Based Spoof Localized Surface Plasmonic Resonator for Sensing Glucose Concentration

A deep learning approach for inverse design of the metasurface for dual-polarized waves

Reconfigurable honeycomb metamaterial absorber having incident angular stability

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