Microstrip Spiral Resonator For Microwave-Based Gas Sensing

Bailly, Guillaume; Harrabi, Amal; Rossignol, Jérôme; Michel, Morgane; Stuerga, D.; Pribetich, P.

doi:10.1109/lsens.2017.2716413

Cited by 36 publications

(23 citation statements)

References 18 publications

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“…This shift is attributed to the increase in the effective dielectric constant due to the glass loading. Further increase in the effective dielectric constant is due to the coating of sensitive material (TiO2/ZnO) over the loaded glass . The reflection coefficient characteristics of the proposed microwave sensor are shown in Figure .…”

Section: Resultsmentioning

confidence: 99%

“…Further increase in the effective dielectric constant is due to the coating of sensitive material (TiO2/ZnO) over the loaded glass. 18 The reflection coefficient characteristics of the proposed microwave sensor are shown in Figure 12. Similar to |S 21 |, the same analysis can be carried out using |S 11 | by considering the shift in the |S 11 | peak values at the intended frequencies.…”

Section: |S 21 | Characteristics Of Resonatormentioning

confidence: 99%

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A compact tri‐band microwave resonator for ethanol gas detection

Alsath

Savarimuthu

Erattaiselvam

et al. 2019

Int J RF Microw Comput Aided Eng

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This article presents the design, simulation, fabrication, and testing of a compact two‐port microwave resonator coated with nanomaterials for ethanol gas sensing applications. The proposed gas sensor consists of a transmission line loaded with three triangular split ring resonators for ethanol detection at three frequency bands viz. 2.2, 4.6, and 6.3 GHz. The transmission line has all‐pass characteristics in which band gaps are introduced using three split ring resonators. The TiO2 and ZnO nanorods are used as sensitive layers for the proposed sensing application. The nanorods, which are grown on a glass substrate of thickness 1 mm, are loaded on to the two‐port microwave resonator making the device sensitive to ethanol. The microwave behavior of the sensor is analyzed using the scattering parameters. The absorption of the ethanol gas causes frequency detuning which is used to analyze the presence of ethanol and its concentration. From the experiments, it is understood that there is an increase in the frequency shift with an increase in the concentration of ethanol gas. The sensing device with ZnO as a sensitive layer showed a higher average sensitivity of 2.35 compared to TiO2 whose average sensitivity is 1.29.

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Section: Resultsmentioning

confidence: 99%

Section: |S 21 | Characteristics Of Resonatormentioning

confidence: 99%

A compact tri‐band microwave resonator for ethanol gas detection

Alsath

Savarimuthu

Erattaiselvam

et al. 2019

Int J RF Microw Comput Aided Eng

View full text Add to dashboard Cite

show abstract

“…Second, measurements are made over a whole frequency range, which multiplies the information collected during sensing experiments. This opens the perspective of a multivariable sensor which can be useful for a multipurpose sensor configuration [2,3].…”

Section: Introductionmentioning

confidence: 97%

NAP-XPS Study of Ethanol Adsorption on TiO2 Surfaces and Its Impact on Microwave-Based Gas Sensors Response

Bailly

Rossignol

Stuerga

et al. 2017

Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017

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This work presents new elements of understanding for the microwave-based gas sensors behavior at room temperature. A TiO2-covered microstrip interdigital capacitor was submitted to various ethanol concentrations and showed a proportional response in the 1-10 GHz microwave range. For each concentration and right after ethanol injection, the sensor response presented a slight overshoot which is often found in gas sensors studies. Near ambient pressure photoemission experiments (NAP-XPS) were conducted to explore the physicochemical causes of this overshoot, and demonstrated the formation of an ethoxide during ethanol adsorption.

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“…[ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ], as well as in therapeutic applications [ 14 , 15 ]. In recent years, various sensors based on microwave devices have been developed to be used for gas sensing purposes [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ]. Compared to their conventional counterparts based on resistive, capacitive, and amperometric effects [ 18 ], sensors based on microwave transducers show better performance, i.e., they have lower power consumption, a shorter response time, and a lower operating temperature [ 16 , 18 , 19 , 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization and Neural Modeling of a Microwave Gas Sensor for Oxygen Detection Aimed at Healthcare Applications

Marinković

Gugliandolo

Latino

et al. 2020

Sensors

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The studied sensor consists of a microstrip interdigital capacitor covered by a gas sensing layer made of titanium dioxide (TiO2). To explore the gas sensing properties of the developed sensor, oxygen detection is considered as a case study. The sensor is electrically characterized using the complex scattering parameters measured with a vector network analyzer (VNA). The experimental investigation is performed over a frequency range of 1.5 GHz to 2.9 GHz by placing the sensor inside a polytetrafluoroethylene (PTFE) test chamber with a binary gas mixture composed of oxygen and nitrogen. The frequency-dependent response of the sensor is investigated in detail and further modelled using an artificial neural network (ANN) approach. The proposed modelling procedure allows mimicking the measured sensor performance over the whole range of oxygen concentration, going from 0% to 100%, and predicting the behavior of the resonant frequencies that can be used as sensing parameters.

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Microstrip Spiral Resonator For Microwave-Based Gas Sensing

Cited by 36 publications

References 18 publications

A compact tri‐band microwave resonator for ethanol gas detection

A compact tri‐band microwave resonator for ethanol gas detection

NAP-XPS Study of Ethanol Adsorption on TiO2 Surfaces and Its Impact on Microwave-Based Gas Sensors Response

Characterization and Neural Modeling of a Microwave Gas Sensor for Oxygen Detection Aimed at Healthcare Applications

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