2023
DOI: 10.1021/acsaelm.2c01554
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A Composite Gas-Phase Explosives Sensor with Frequency-Resistance Dual-Signal Display Based on Surface Acoustic Wave

Abstract: The surface acoustic wave (SAW) technology has been widely used for hazardous gas detection, but the low sensitivity, poor selectivity, long response/recovery time, and signal “false positives” of the sensors have limited its application for gas-phase explosives detection. In this paper, a composite gas-phase explosives sensor with frequency-resistance dual-signal display was designed by transferring 25 layers of graphene (rGO) in the sensing area of the SAW device and coupling p-aminothiophenol (PATP)-modifie… Show more

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Cited by 2 publications
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“…Then, a surface acoustic wave (SAW) gas sensor is fabricated with the EMIM-TFSI/PEGDA ionic gel film as the sensitive layer. Its sensing mechanism is mainly based on mass loading: the absorption of gas molecules in the sensitive layer will change the phase or center frequency of the SAW gas sensor, which is then converted into a voltage output by a signal conversion circuit. In order to verify that the presence of halogen atoms is crucial for the selectivity of the IL toward X-VOCs, three groups of gas samples, each containing one X-VOC sample and one structurally similar nonhalogenated VOC sample, are selected for the comparative test.…”
mentioning
confidence: 99%
“…Then, a surface acoustic wave (SAW) gas sensor is fabricated with the EMIM-TFSI/PEGDA ionic gel film as the sensitive layer. Its sensing mechanism is mainly based on mass loading: the absorption of gas molecules in the sensitive layer will change the phase or center frequency of the SAW gas sensor, which is then converted into a voltage output by a signal conversion circuit. In order to verify that the presence of halogen atoms is crucial for the selectivity of the IL toward X-VOCs, three groups of gas samples, each containing one X-VOC sample and one structurally similar nonhalogenated VOC sample, are selected for the comparative test.…”
mentioning
confidence: 99%