Tailoring the ethanol selectivity of SnO <sub>2</sub> -based MEMS gas sensors <i>via</i> WO <sub>3</sub> -loading in double-pulse-driven mode

This work demonstrates a strategy to tailor the ethanol selectivity of SnO<sub>2</sub>-based MEMS gas sensors by combining WO<sub>3</sub> loading with a pulse-driven heating mode. This dynamic operating mode separates the sensing signal, allowing for the distinction between an initial transient response in the target gas atmosphere (<i>S</i> <sub>p</sub>) and a total response (<i>S</i> <sub>i</sub>). WO<sub>3</sub>-loaded SnO<sub>2</sub> nanoparticles (NPs) were synthesized <i>via</i> hydrothermal treatment and impregnation methods. The optimal 1.5 mol% WO<sub>3</sub>-loaded SnO<sub>2</sub> (1.5-W-Sn) exhibited highly dispersed WO<sub>3</sub> species and an enhanced specific surface area. At measurement temperature of 350 °C, the 1.5-W-Sn sensor showed selectivity toward 10 ppm ethanol with an <i>S</i> <sub>p</sub> value significantly higher than those for other VOCs. <i>In situ</i> diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) measurements confirmed that the 1.5-W-Sn sample enhanced ethanol adsorption at low-temperature. More critically, results of the temperature programmed reaction after ethanol adsorption confirmed that WO<sub>3</sub> loading altered the ethanol reaction pathway, which was evidenced by ethylene desorption. This altered pathway, coupled with the rapid combustion of its byproducts during the measurement step is responsible for the high <i>S</i> <sub>p</sub> value. The combination of pre-adsorption and an altered reaction pathway, enables the sensor's marked selectivity to ethanol. These findings underscore a powerful design strategy, where material properties and dynamic operation modes are tailored the selective detection.

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Publication Details

Journal
RSC Advances
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ra08502k
Citations
1
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.73

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article

Tailoring the ethanol selectivity of SnO 2 -based MEMS gas sensors via WO 3 -loading in double-pulse-driven mode

Yusuke Inomata, Tetsuya Kida, Kengo Shimanoe, Koichi Suematsu et al.
1 citations
RSC Advances
Gas Sensing Nanomaterials and Sensors
0.73
article

Tailoring the ethanol selectivity of SnO 2 -based MEMS gas sensors via WO 3 -loading in double-pulse-driven mode

Yusuke Inomata, Tetsuya Kida, Kengo Shimanoe, Koichi Suematsu, Yusuke Shimada, Ken Watanabe, Tao Ren
article en
1 citations

Abstract

This work demonstrates a strategy to tailor the ethanol selectivity of SnO<sub>2</sub>-based MEMS gas sensors by combining WO<sub>3</sub> loading with a pulse-driven heating mode. This dynamic operating mode separates the sensing signal, allowing for the distinction between an initial transient response in the target gas atmosphere (<i>S</i> <sub>p</sub>) and a total response (<i>S</i> <sub>i</sub>). WO<sub>3</sub>-loaded SnO<sub>2</sub> nanoparticles (NPs) were synthesized <i>via</i> hydrothermal treatment and impregnation methods. The optimal 1.5 mol% WO<sub>3</sub>-loaded SnO<sub>2</sub> (1.5-W-Sn) exhibited highly dispersed WO<sub>3</sub> species and an enhanced specific surface area. At measurement temperature of 350 °C, the 1.5-W-Sn sensor showed selectivity toward 10 ppm ethanol with an <i>S</i> <sub>p</sub> value significantly higher than those for other VOCs. <i>In situ</i> diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) measurements confirmed that the 1.5-W-Sn sample enhanced ethanol adsorption at low-temperature. More critically, results of the temperature programmed reaction after ethanol adsorption confirmed that WO<sub>3</sub> loading altered the ethanol reaction pathway, which was evidenced by ethylene desorption. This altered pathway, coupled with the rapid combustion of its byproducts during the measurement step is responsible for the high <i>S</i> <sub>p</sub> value. The combination of pre-adsorption and an altered reaction pathway, enables the sensor's marked selectivity to ethanol. These findings underscore a powerful design strategy, where material properties and dynamic operation modes are tailored the selective detection.

RSC AdvancesVol. 15(57)
Kyushu University (JP), Kumamoto Health Science University (JP), Kumamoto Industrial Research Institute (JP), Kumamoto University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 21%
Gas Sensing Nanomaterials and Sensors
0.73
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