Influence of the Design in Microwave-based Gas Sensors: Ammonia Detection with Titania Nanoparticles

Bailly, Guillaume; Harrabi, Amal; Rossignol, Jérôme; Domenichini, B.; Bellat, Jean‐Pierre; Bezverkhyy, Igor; Pribetich, P.; Stuerga, D.

doi:10.1016/j.proeng.2016.11.185

Cited by 15 publications

(5 citation statements)

References 4 publications

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“…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. However, in this article, the behavior of the microwave sensor subject to varying gas concentration is analyzed using the transmission coefficient.…”

Section: |S 21 | Characteristics Of Resonatormentioning

confidence: 99%

“…In Reference 11, microwave‐based sensing measurements for the detection of NH 3 using titanium dioxide nanoparticles. Numerous variables can be tracked using this technique, which improves the sensor differentiation capabilities through data crossing . Among all different detection mechanisms, the method relying on the shift of the resonant frequency is the most effective for remote sensing because the amplitude is susceptible to interference and noise, leading to false positives (ammonia detection), while the frequency shift is relatively insensitive to these detrimental factors .…”

Section: Introductionmentioning

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: |S 21 | Characteristics Of Resonatormentioning

confidence: 99%

Section: Introductionmentioning

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

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“…Biosensing with a rich history in sensing minute dilutions using optical sensor technology has borrowed metamaterials, supporting confined guided modes, for sensing streptavidin-biotin structure and also for polarization-insensitive material characterization [13,14]. Many material characterizations on solids [15,16], liquids [1,[17][18][19][20][21], and gases [22][23][24][25][26] have also been implemented mainly due to high quality factor, subwavelength dimension, and a localized sensitive region to tiny analyte under test at resonance. Metamaterial sensors, overriding traditional radio-frequency structures, offer higher quality factor and lower depth in transmission with respect to the surface tension of the test material [27,28].…”

Section: Introductionmentioning

confidence: 99%

Multifunctional Ultrahigh Sensitive Microwave Planar Sensor to Monitor Mechanical Motion: Rotation, Displacement, and Stretch

Abdolrazzaghi

Daneshmand

2020

Sensors

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This paper presents a novel planar multifunctional sensor that is used to monitor physical variations in the environment regarding distance, angle, and stretch. A double split-ring resonator is designed at 5.2 GHz as the core operating sensor. Another identical resonator is placed on top of the first one. The stacked configuration is theoretically analyzed using an electric circuit model with a detailed parameter extraction discussion. This design is first employed as a displacement sensor, and a compelling high sensitivity of 500 MHz/mm is observed for a wide dynamic range of 0-5 mm. Then, in another configuration, the stacked design is used as a rotation sensor that results in a high sensitivity of 4.5 MHz/ ° for the full range of 0-180 ° . In addition, the stacked resonator is utilized as a strain detector, and a 0–30% stretch is emulated with a linear sensitivity of 12 MHz/%. Measurements are well in congruence with simulated results, which proves the accurate functionality of the sensor in tracking mechanical deformations, all in a single compact contraption.

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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%

“…Often, the propagative structure is realized in the microstrip technology, such as microstrip patch antennas [ 24 , 25 , 26 ], microwave resonators [ 20 , 27 , 28 , 29 , 30 , 31 , 32 ], and other microstrip structures [ 35 , 36 ]. Among the various exploited structures, sensors based on the use of interdigital capacitors (IDCs) as propagative structures have been proposed [ 30 , 37 ]. The gas sensor considered in this work is a two-port IDC fabricated in microstrip technology and covered with a thick layer of titania (TiO 2 ), as a sensitive layer.…”

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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Influence of the Design in Microwave-based Gas Sensors: Ammonia Detection with Titania Nanoparticles

Cited by 15 publications

References 4 publications

A compact tri‐band microwave resonator for ethanol gas detection

A compact tri‐band microwave resonator for ethanol gas detection

Multifunctional Ultrahigh Sensitive Microwave Planar Sensor to Monitor Mechanical Motion: Rotation, Displacement, and Stretch

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

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