Ultrasound assisted low-concentration VOC sensing

Su, Songfei; Hu, Junhui

doi:10.1016/j.snb.2017.07.175

Cited by 25 publications

(12 citation statements)

References 32 publications

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“…Actually, in this case, the target and impurity gases are identical. This is because according to the experimental results, the ultrasonic effect is always different for two different gases with the same concentration and under the same sonication, measured by the same sensing element …”

Section: Experimental Verification and Discussionmentioning

confidence: 92%

“…Experimental data given by Figure and other references , indicate that the resistance of a MOS gas sensor always changes with the target gas concentration monotonously. Also, from the experimental data given by Figure and ref , it is known that at the same gas concentration, there is always Equation and the monotonicity of the functions R i ( C ) and R u,i ( C ) provide a feasibility for the implementation of gas identification method described above.…”

Section: Experimental Verification and Discussionmentioning

confidence: 99%

“…The phenomenon that increasing the ultrasonic strength increases the anti-interference capability (shown in Figure a,b) can be explained as follows. From the experiments, it is known that the relationship between the ultrasonic effect k and vibration velocity u is nonlinear, and the slope of k – u curve at large vibration velocity range approaches to 0 as the vibration velocity u increases. As the vibration velocity in Figure b is larger than that in Figure a, Δ k for Figure b is smaller than that for Figure a, which causes a stronger anti-interference capability shown in Figure b.…”

Section: Experimental Verification and Discussionmentioning

confidence: 99%

“…Recently, the authors experimentally discovered that ultrasound on the sensing layer could affect the sensing process of a MOS gas sensor . The discovery was utilized to enhance the sensitivity of MOS gas sensors and decrease the lower sensing limit.…”

Section: Introductionmentioning

confidence: 99%

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Gas Identification by a Single Metal-Oxide-Semiconductor Sensor Assisted by Ultrasound

2019

ACS Sens.

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The gas identification technology has huge potential applications in medical diagnoses, food industries, early warning of poisonous gas leakage, fire prevention, antiterrorism, military, etc. Although electronic noses may be used to identify different gases, it has been a big challenge to identify gases by a single sensor. In this work, we demonstrate a novel gas identification strategy based on a single metaloxide-semiconductor (MOS) sensor assisted by an ultrasound. The identification is based on different ultrasonic effects on the steady sensing responses of an ultrasonically radiated MOS gas sensor to different target gases. It does not need a complicated feature extraction computation. Our experiments show that the success rate of identification can be up to 100% if strong enough ultrasound is employed. The identification process can also give the concentration of the gas to be identified. The identification result is immune to the interference of impurity gases to some extent. The anti-interference capability may be strengthened by increasing the vibration velocity and choosing proper sensing materials.

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Section: Experimental Verification and Discussionmentioning

confidence: 92%

Section: Experimental Verification and Discussionmentioning

confidence: 99%

Section: Experimental Verification and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Gas Identification by a Single Metal-Oxide-Semiconductor Sensor Assisted by Ultrasound

2019

ACS Sens.

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“…Detection of harmful volatile organic compounds (VOCs), such as ammonia in the atmosphere remains challenging [1–3] . Monitoring of ammonia level in the air using a gas/vapor sensor is in great demand [4,5] .…”

Section: Introductionmentioning

confidence: 99%

Electrospun Polyacrylonitrile Nanofibers Mixed with Citric Acid as a Quartz Crystal Microbalance Ammonia Vapor Sensor

et al. 2022

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The detection of ammonia vapor in the air is always challenging and in great demand, with the main issues are their low sensitivity. In this contribution, we developed a quartz crystal microbalance (QCM) gas sensor to detect ammonia vapor in the air using electrospun polyacrylonitrile (PAN) nanofiber mixed with citric acid (CA) as its sensing material. The nanostructured morphology of the as‐prepared nanofiber sensors was confirmed using scanning electron microscopy (SEM), while the existence of the CA in the PAN/CA nanofiber confirms using Fourier transform infrared (FTIR) spectroscopy. The average diameter of the PAN and PAN/CA nanofiber sample was found in the range of 260 nm to 307 nm. The highest sensor sensitivity was obtained by the PAN/CA4 nanofiber sensor with the value of 0.28 Hz/ppm, increasing almost 4 times compared to the unmodified PAN nanofiber sensor (0.075 Hz/ppm). Moreover, the sensor also shows good reversibility, fast response/recovery time, and excellent repeatability sensing performance. The addition of CA into the PAN nanofiber structures enhances the sensor sensitivity, probably due to the enrichment of carboxyl group at the sensor surface. This work could become a promising and alternative way to enhance the sensitivity of a QCM gas sensor modified with polymers doped with suitable compounds.

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FEM Analyses of Excitation Efficiency of Airborne Ultrasound Catalysis Mechanisms

Xiang,

2024

Mechanisms and Machine Science

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Ultrasound assisted low-concentration VOC sensing

Cited by 25 publications

References 32 publications

Gas Identification by a Single Metal-Oxide-Semiconductor Sensor Assisted by Ultrasound

Gas Identification by a Single Metal-Oxide-Semiconductor Sensor Assisted by Ultrasound

Electrospun Polyacrylonitrile Nanofibers Mixed with Citric Acid as a Quartz Crystal Microbalance Ammonia Vapor Sensor

FEM Analyses of Excitation Efficiency of Airborne Ultrasound Catalysis Mechanisms

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