2021
DOI: 10.1021/acssensors.1c01696
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An Analysis of a Highly Sensitive and Selective Hydrogen Gas Sensor Based on a 3D Cu-Doped SnO2 Sensing Material by Efficient Electronic Sensor Interface

Abstract: In this research, a highly sensitive and selective hydrogen gas sensor was developed based on Cu-doped SnO2. Sensing characteristics were compared based on SnO2 doped with different concentrations of Cu, and the highest sensitivity and fastest response time were shown when 3% Cu was contained. A 3D structure was formed using a polystyrene to increase the surface-to-volume ratio, which allows more oxygen molecules to bond with the surface of the SnO2 sensing material. Extremely increased sensitivity was observe… Show more

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Cited by 34 publications
(17 citation statements)
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“…The surface chemical composition and element state of the D-WO 3 NSs were investigated by XPS. Taking D-WO 3 -2 as an example, Figure b shows the deconvolution of the O1s spectrum of D-WO 3 -2 NSs, in which the peaks at 532.7 and 530.6 eV correspond to the adsorbed oxygen (O A ) and lattice oxygen (O L ) in WO 3 , respectively, while the peak at 531.7 eV is associated with the oxygen vacancies (O v ) of D-WO 3 -2. Obviously, the increase in hydrogenation time (2, 4, 6, and 8 h) led to a concomitant increase in the concentration of oxygen vacancies in D-WO 3 NSs (6.63, 13.56, 22.33, and 29.57%). Correspondingly, the ratio of oxygen vacancies to lattice oxygen also increases gradually (Figure S2).…”
Section: Resultsmentioning
confidence: 99%
“…The surface chemical composition and element state of the D-WO 3 NSs were investigated by XPS. Taking D-WO 3 -2 as an example, Figure b shows the deconvolution of the O1s spectrum of D-WO 3 -2 NSs, in which the peaks at 532.7 and 530.6 eV correspond to the adsorbed oxygen (O A ) and lattice oxygen (O L ) in WO 3 , respectively, while the peak at 531.7 eV is associated with the oxygen vacancies (O v ) of D-WO 3 -2. Obviously, the increase in hydrogenation time (2, 4, 6, and 8 h) led to a concomitant increase in the concentration of oxygen vacancies in D-WO 3 NSs (6.63, 13.56, 22.33, and 29.57%). Correspondingly, the ratio of oxygen vacancies to lattice oxygen also increases gradually (Figure S2).…”
Section: Resultsmentioning
confidence: 99%
“…As hydrogen (H 2 ) is dangerous and prone to leakage because of its small molecular size, there have been huge efforts to develop efficient H 2 sensors using metal- or metal-oxide-based materials. Pt and In 2 O 3 are both reported to be sensitive to H 2 , but In 2 O 3 requires a high temperature to activate relevant surface reactions. , In this work, Pt, In 2 O 3 , and Pt/In 2 O 3 nanowire sensors were fabricated using the developed nanofabrication approach and tested for hydrogen sensing at room temperature. The metal electrodes were evaporated on the nanowire array through a shadow mask to form two-terminal electrode sensing systems (Figure S4).…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, the sensing performance is closely related to the morphology and structure of metal oxides 13,14 . Recently, it has been reported that H 2 detection uses MOS‐based gas sensing materials with a rich variety of nanostructures, such as 0D nanoparticles, 15,16 1D nanowires, 17,18 2D nanosheets, 19,20 and 3D nanopolyhedron 21,22 . Compared with other nanostructures, 3D nanostructures provide large active surface areas, highly porous structure, high utilization rate, and high surface area to volume ratio.…”
Section: Introductionmentioning
confidence: 99%
“…13,14 Recently, it has been reported that H 2 detection uses MOS-based gas sensing materials with a rich variety of nanostructures, such as 0D nanoparticles, 15,16 1D nanowires, 17,18 2D nanosheets, 19,20 and 3D nanopolyhedron. 21,22 Compared with other nanostructures, 3D nanostructures provide large active surface areas, highly porous structure, high utilization rate, and high surface area to volume ratio. The inorganic components (metal ions or clusters) and organic ligands can be assembled into metal-organic frameworks (MOFs) which can show different structures and morphologies.…”
mentioning
confidence: 99%