Modeling of sensing and transduction for p-type semiconducting metal oxide based gas sensors

Bârsan, Nicolae; Simion, Cristian E.; Heine, Thomas; Pokhrel, Suman; Weimar, Udo

doi:10.1007/s10832-009-9583-x

Cited by 383 publications

(250 citation statements)

References 18 publications

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“…It was observed that a mouse exposed to 10 ppm of O 3 did not survive. 9−12 However, during the past decade, most studies have been focused on ntype semiconductor oxides such as ZnO, WO 3 , Fe 2 O 3 , SnO 2 , etc., for toxic gas sensing applications operating at a relatively high working temperature around 300°C. 13−16 The gas sensing characteristics of p-type materials have been rarely investigated, although the architectures combined with n-type ones have been reported.…”

Section: Introductionmentioning

confidence: 99%

In-Depth Understanding of the Relation between CuAlO₂ Particle Size and Morphology for Ozone Gas Sensor Detection at a Nanoscale Level

Thirumalairajan

Mastelaro

Escanhoela

2014

ACS Appl. Mater. Interfaces

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A morphology-dependent nanomaterial for energy and environment applications is one of the key challenges for materials science and technology. In this study, we investigate the effect of the particle size of CuAlO 2 nanostructures prepared through the facile and hydrothermal process to detect ozone gas. Phase analysis and structural information were obtained using X-ray diffraction and microRaman studies. The chemical states of CuAlO 2 atomic species were determined by X-ray photoelectron spectroscopy. Electron microscopy images revealed the flower and hexagonal shape constituted of pentagon and oval CuAlO 2 nanoparticles with average size ∼40 and 80 nm. The specific surface area was measured and found to be 59.8 and 70.8 m 2 g −1 , respectively. The developed CuAlO 2 nanostructures not only possess unique morphology but also influence the ozone gas sensing performance. Among the two structures, CuAlO 2 , with hexagonal morphology, exhibited superior ozone detection for 200 ppb at 250°C, with a response and good recovery time of 25 and 39 s compared to the flower morphology (28 and 69 s). These results show that not only does the morphology play an major role but also the particle size, surface area, gas adsorption/desorption, and grain−grain contact, as proposed in the gas sensing mechanism. Finally, we consider CuAlO 2 material as a good candidate for environment monitoring applications.

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Section: Introductionmentioning

confidence: 99%

In-Depth Understanding of the Relation between CuAlO₂ Particle Size and Morphology for Ozone Gas Sensor Detection at a Nanoscale Level

Thirumalairajan

Mastelaro

Escanhoela

2014

ACS Appl. Mater. Interfaces

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“…For the n-grains, I refer to the parameters of [19,20] that have also been used in [3,9] and for the p-grains, I test three parameter sets, close to the ones reported in Ref. [16] …”

Section: Resultsmentioning

confidence: 99%

“…Also the p-grains can be described by a positively charged shell and a neutral core [16] (see Fig. 1(b)), where the volume density of positive holes in the core equals the acceptor density N A .…”

Section: Surface Effects On P-grainsmentioning

confidence: 99%

“…However, contrary to the assumptions of [1], I show that bonds between n-and p-grains play a major role for a selective behavior as they couple the two types of pathes. Both types of grains are modelled in reasonable approximations under the influence of adsorbed oxygen, thereby applying basic microscopical concepts [8,[14][15][16]. Different gases are distinguished by their reaction rates with the adsorbed oxygen, expressed by appropriate "reaction factors" α n and α p that describe the ratio of oxygen that reacts with the considered gas on n-and on p-surfaces, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Percolation model for a selective response of the resistance of composite semiconductingnpsystems with respect to reducing gases

Russ

2014

Phys. Rev. E

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It is shown that a two-component percolation model on a simple cubic lattice can explain an experimentally observed behavior [1], namely that a network built up by a mixture of sintered nanocrystalline semiconducting n-and p-grains can exhibit selective behavior, i.e. respond with a resistance increase when exposed to a reducing gas A and with a resistance decrease in response to another reducing gas B. To this end, a simple model is developed, where the n-and p-grains are simulated by overlapping spheres, based on realistic assumptions about the gas reactions on the grain surfaces. The resistance is calculated by random walk simulations with nn-, pp-and np-bonds between the grains and the results are found in very good agreement with the experiments. Contrary to former assumptions, the np-bonds are crucial to obtain this accordance.

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“…In particular, nanostructured materials are more capable of detecting a small amount of chemical gases due to their high surface−to-volume ratio [9]. Nanostructured materials can be divided into several categories based on the morphology: 0-dimensional nanoparticles, 1-dimensional nanowires, 2-dimensional nanofilms, 3-dimensional nanoporous materials, etc.…”

Section: Introductionmentioning

confidence: 99%

H₂S Gas Sensing Properties of CuO Nanotubes

Kang¹,

Park²

2014

Applied Science and Convergence Technology

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CuO nanotubes are synthesized using TeO 2 nanorod templates for application to H 2 S gas sensors. TeO 2 nanorod templates were synthesized by using the VS method through thermal evaporation. Scanning electron microscopy, transmission electron microscopy and X-ray diffraction showed that the synthesized nanotubes were monoclinic-structured polycrystalline CuO with diameter and wall thickness of approximately 100∼300 nm and 5∼10 nm, respectively. The CuO nanotube sensor showed responses of 136∼325% for the H 2 S concentration of 0.1∼5 ppm at room temperature. These response values are approximately twice as high as that of the CuO nanowire sensor for the same concentrations of H 2 S gas.Along with the investigation of the performance of the sensors, the mechanisms of H 2 S gas sensing of the CuO nanotubes are also discussed in this study.

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Modeling of sensing and transduction for p-type semiconducting metal oxide based gas sensors

Cited by 383 publications

References 18 publications

In-Depth Understanding of the Relation between CuAlO₂ Particle Size and Morphology for Ozone Gas Sensor Detection at a Nanoscale Level

In-Depth Understanding of the Relation between CuAlO₂ Particle Size and Morphology for Ozone Gas Sensor Detection at a Nanoscale Level

Percolation model for a selective response of the resistance of composite semiconductingnpsystems with respect to reducing gases

H₂S Gas Sensing Properties of CuO Nanotubes

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Modeling of sensing and transduction for p-type semiconducting metal oxide based gas sensors

Cited by 383 publications

References 18 publications

In-Depth Understanding of the Relation between CuAlO2 Particle Size and Morphology for Ozone Gas Sensor Detection at a Nanoscale Level

In-Depth Understanding of the Relation between CuAlO2 Particle Size and Morphology for Ozone Gas Sensor Detection at a Nanoscale Level

Percolation model for a selective response of the resistance of composite semiconductingnpsystems with respect to reducing gases

H2S Gas Sensing Properties of CuO Nanotubes

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Product

Resources

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In-Depth Understanding of the Relation between CuAlO₂ Particle Size and Morphology for Ozone Gas Sensor Detection at a Nanoscale Level

In-Depth Understanding of the Relation between CuAlO₂ Particle Size and Morphology for Ozone Gas Sensor Detection at a Nanoscale Level

H₂S Gas Sensing Properties of CuO Nanotubes