Rectangular patch resonator sensors for characterization of biological materials

Aouabdia, N.; Belhadj-Tahar, N.; Alquié, G.

doi:10.1109/ssd.2014.6808748

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…Starting from the shift on the measured resonance frequency compared with the empty resonance of the wearable biosensor. The effective permittivity is obtained by using the following formula [19]:…”

Section: Gas Sample Modelling 221 Mathematical Approachmentioning

confidence: 99%

“…f 1 is the resonance frequency of the sample fundamental mode, Δf is the frequency shift between the reference frequency and the gas sample frequency, 𝑊 and ℎ are the width of the patch and the thickness of the substrate respectively. When 𝑊 / ℎ >> 1 and the metal thickness negligible, the effective permittivity can be calculated as suggested in [19]:…”

Section: Gas Sample Modelling 221 Mathematical Approachmentioning

confidence: 99%

“…The loss factor can be calculated using the quality factor and is given by the following formula [19]:…”

Section: Gas Sample Modelling 221 Mathematical Approachmentioning

confidence: 99%

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2022

DJNB

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Toxic gases are responsible for the loss of many human lives around the world, which is increasing every year. Toxicity can have various biological aspects on the human body. The exposure to its gases leads to harmful consequences for the organism, which leads to metabolic reactions and even death. For this purpose, the initial step is to detect these gases with miniature flexible structures and solid progressed estimation methods using a simulation software tool. The studied sensor is based on the frequency characterization of an RF Planar Resonant Structure, in which the active element is a patch of radiating graphene printed on a polyimide film (Kapton). The objective of this work is to use our Graphene-Kapton sensor for non-invasive testing applications. In our case, the device is tested to detect and recognize several dangerous and toxic gases such as Fluorine azide (F2N), Hydrogen Iodide (HI), Nitrogen (N2), Methane (CH4), and Carbon monoxide (CO). The simulation results indicate that the Graphene-Kapton flexible sensor exhibits an important sensing performance. The sensor is able to detect all the tested gases with a good sensitivity depending on each gas. As well as, the sensor shows a high sensitivity (0.1± 0.01)* 106 [ppm]-1 (0.1 [ppt]-1) of methane (CH4) gas with detection limit of (9±0.1) *10-6 ppm (9 ppt).

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Section: Gas Sample Modelling 221 Mathematical Approachmentioning

confidence: 99%

Section: Gas Sample Modelling 221 Mathematical Approachmentioning

confidence: 99%

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2022

DJNB

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“…Material characterization has been a topic of interest in academia and research for a long time due to the need for an accurate and reliable information regarding material parameters and characteristics. Measuring the dielectric parameters of samples and materials is a very important process in various applications such as circuit board laminates, absorber materials characterization for microwave design, food quality control, production lines, and noninvasive health sensing applications [1][2][3][4][5][6][7][8]. Several techniques have been developed for extracting these dielectric parameters with the majority of them relying on the transmission and reflection coefficients of the material [3,9,10].…”

Section: Introductionmentioning

confidence: 99%

Remote Material Characterization with Complex Baseband FMCW Radar Sensors

Hegazy¹,

Alizadeh²,

Samir³

et al. 2023

PIER

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This paper presents the theoretical basis and experimental validation for a technique to remotely characterize materials using FMCW radar sensors with complex baseband architecture. Our theoretical work proves that the magnitude and phase of the input reflection coefficient of a material can be accurately extracted from the baseband data of a complex-baseband FMCW radar. This complex reflection coefficient can be used to calculate the dielectric constant, loss tangent, thickness, and layer setup of a material with high accuracy due to the extra information obtained from the phase of the reflection coefficient. The analysis starts with a theoretical model for the complex reflection coefficient of a flat material slab suspended in air. We then introduce a formulation for the complex reflection coefficient existing in the complex baseband of an FMCW radar signal. We finally present the experimental testing preformed using TI mmWave radar on two different material samples and introduce the test results for extracting the material dielectric properties and thickness using three different extraction methods compared against nominal values from literature. The test results prove the high accuracy of our technique resulting from the utilization of both magnitude and phase information of the input refection coefficient, despite the relatively long free-space measurement distance and the multi-path reflections test environment.

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“…Meat quality aspects, quality classes, detection of frozen, chemical contamination and microbial activities have been characterized using the impedance variations of Kilo-Hertz to Mega-Hertz frequency ranges. However, moderately a few literature sources are found in Giga-Hertz ranges, which focus mainly on the assessment of freshness, salting process, aging state and fat determination [5]- [16].…”

Section: Introductionmentioning

confidence: 99%

A Novel Symmetrical Split Ring Resonator Based on Microstrip for Microwave Sensors

Alahnomi

Zakaria

Ruslan

et al. 2016

Measurement Science Review

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In this paper, novel symmetrical split ring resonator (SSRR) is proposed as a suitable component for performance enhancement of microwave sensors. SSRR has been employed for enhancing the insertion loss of the microwave sensors. Using the same device area, we can achieve a high Q-factor of 141.54 from the periphery enhancement using Quasi-linear coupling SSRR, whereas loose coupling SSRR can achieve a Q-factor of 33.98 only. Using Quasi-linear coupling SSRR, the Q-factor is enhanced 4.16 times the loose coupling SSRR using the same device area. After the optimization was made, the SSRR sensor with loose coupling scheme has achieved a very high Qfactor value around 407.34 while quasi-linear scheme has achieved high Q-factor value of 278.78 at the same operating frequency with smaller insertion loss. Spurious passbands at 1st, 2nd, 3rd, and 4th harmonics have been completely suppressed well above -20 dB rejection level without visible changes in the passband filter characteristics. The most significant of using SSRR is to be used for various industrial applications such as food industry, quality control, bio-sensing medicine and pharmacy. The simulation result that Quasi-linear coupling SSRR is a viable candidate for the performance enhancement of microwave sensors has been verified.

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Rectangular patch resonator sensors for characterization of biological materials

Cited by 4 publications

References 6 publications

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Remote Material Characterization with Complex Baseband FMCW Radar Sensors

A Novel Symmetrical Split Ring Resonator Based on Microstrip for Microwave Sensors

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