Yttrium - Substituted SnO2 thin films and its gas sensing activity against NH3 gas: Characterization and sensitivity evaluation

Maheswari, S.; Karunakaran, M.; Kasirajan, K.; Chandrasekar, L. Bruno; Boomi, Pandi

doi:10.1016/j.sna.2020.112303

Cited by 25 publications

(8 citation statements)

References 38 publications

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“…When the reducing gas is adsorbed on the surface of the sensing film, the electron concentration of SnO 2 showing n-type behavior will increase, resulting in a decrease in resistance. 50 In contrast, the hole concentration of Cu/SnO 2 with p-type behavior will decrease, resulting in an increase in resistance. 51…”

Section: Resultsmentioning

confidence: 99%

Quantitative prediction of ternary mixed gases based on an SnO₂ sensor array and an SSA-BP neural network model

Zhang

et al. 2023

Phys. Chem. Chem. Phys.

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Section: Resultsmentioning

confidence: 99%

Quantitative prediction of ternary mixed gases based on an SnO₂ sensor array and an SSA-BP neural network model

Zhang

et al. 2023

Phys. Chem. Chem. Phys.

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“…The transient response characteristics of as-deposited pristine nanometer TO and ATO thin films were estimated from the transient sensing curves and the values presented in Table S1 are also compared with previous literature reports of pure SnO 2 , doped SnO 2, and SnO 2 -based composite materials. ,,− ,,,− TO film showed similar response behavior toward CO and NH 3 gases. Also increasing the gas concentration and operating temperature of TO and ATO films improves the response behavior (Supporting Information, Figure S3a,b).…”

Section: Gas Sensor Device Performancementioning

confidence: 91%

“…A spherical surface and a high electron concentration resulted in significant improvements in ammonia sensitivity. 49 However, from a commercialization point of view, it is also necessary to examine the response/recovery time and selectivity of the sensing films to choose the best operating condition. TO thin film showed a very high response and recovery time toward CO and NH 3 gas even at higher gas concentrations of 25 ppm (Table S2).…”

Section: Gas Sensor Device Performancementioning

confidence: 99%

Enhanced Sensing Performance of Sb-Doped Nanometer-Thin SnO₂ Films toward CO and NH₃ Gases

Ramanathan

Nagarajan

Bonu

et al. 2023

ACS Appl. Nano Mater.

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Thin film technology offered several possibilities and advancements in modern gas sensor devices. We have developed template-free, Sb-doped nanometer thin-SnO 2 films for CO/NH 3 gas detection using a facile spray technique on the glass substrates. Structural, surface, optical, and resistivity properties of as-deposited films were investigated as a function of film thickness for enhanced gas sensor performance. Structural analysis confirms tetragonal phase formation along with the texture behavior of the films. Increasing film thickness leads to an increase in the texture growth of the film, which can also impact gas sensing. As-deposited films display a polygon microstructure with dense film formation, leading to a large sensing surface. HR-TEM analysis confirms that Sb-doped nanometer-thin SnO 2 (ATO) films have a relatively low crystallite size than pristine TO films. Pristine SnO 2 (TO) film has better bandgap matching with bulk SnO 2 samples. ATO thin films have relatively lower band gap values and decrease as a function of film thickness due to enhanced free carrier density upon Sb doping. To determine the best optimum condition, gas sensing analysis was investigated at different operating temperatures (150, 200, and 250 °C) for different gas concentrations (5 to 25 ppm). Designed TO and ATO film base sensors exhibit rectifying gas-sensing behavior, indicating the formation of a potential barrier across the film surface and metal (Au) interface. ATO film-based gas sensor devices showed enhanced response toward CO/NH 3 gas detection compared to pristine TO thin film. Also, ATO thin films exhibited better stability and selectivity toward CO gas detection than NH 3 gas. However, the ATO film with very low resistance below 1 kΩ is not able to be used as a gas sensor. Hence, the results obtained indicate the optimum resistive behavior of nanometer ATO films' applicability toward enhanced CO/NH 3 gas detection.

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“…As mentioned above, the sensor array has excellent performance for NH 3 and HCHO. On the one hand, the original nanostructure of SnO 2 nanomaterials is changed by biological template method and simple hydrothermal reaction to obtain to obtain a larger specific surface area, which is conducive to the adsorption and desorption of gas molecules, thus improving the performance of the sensor [6][7]; On the other hand, SnO 2 was an n-type semiconductor material. When the reducing gas is adsorbed on the surface, the electron concentration of SnO 2 will increase, which would change the response value [8][9].…”

Section: Gas Sensing Mechanismmentioning

confidence: 99%

Concentration prediction of binary-component gases based on SnO2 sensor array with machine learning algorithms

Gu¹,

Li²,

Gao³

et al. 2023

International Conference on Optoelectronic Materials and Devices (ICOMD 2022)

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Ammonia (NH 3 ) and formaldehyde (HCHO) are common and highly toxic indoor gases, which are released into the environment through furniture, decorative materials, etc. When the human body is in the environment of ammonia and formaldehyde for a long time, it will cause irreversible harm to the human body. Therefore, it is of great significance for human health to detect low concentration NH 3 and HCHO mixtures efficiently. The gas sensor based on SnO 2 (tin oxide) has the characteristics of fast response, fast recovery and good selectivity, so it has a broad application prospect in detecting indoor toxic gases. In this paper, tin oxide and copper-doped tin oxide gas-sensing materials synthesized by bio-template and hydrothermal methods are introduced for self-made gas-sensing sensor arrays. The sensor array combines SSA-BPNN (Sparrow search algorithm optimized Back-propagation neural network) algorithm to predict and analyze indoor toxic gas concentration. The elemental composition of SnO 2 nanomaterials was characterized and analyzed by XRD (X-ray diffraction). The gas sensing characteristics of the sensor array were tested. The sensor array was combined with a neural network algorithm to successfully predict the concentration information of mixed toxic gases.

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Yttrium - Substituted SnO2 thin films and its gas sensing activity against NH3 gas: Characterization and sensitivity evaluation

Cited by 25 publications

References 38 publications

Quantitative prediction of ternary mixed gases based on an SnO₂ sensor array and an SSA-BP neural network model

Quantitative prediction of ternary mixed gases based on an SnO₂ sensor array and an SSA-BP neural network model

Enhanced Sensing Performance of Sb-Doped Nanometer-Thin SnO₂ Films toward CO and NH₃ Gases

Concentration prediction of binary-component gases based on SnO2 sensor array with machine learning algorithms

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Yttrium - Substituted SnO2 thin films and its gas sensing activity against NH3 gas: Characterization and sensitivity evaluation

Cited by 25 publications

References 38 publications

Quantitative prediction of ternary mixed gases based on an SnO2 sensor array and an SSA-BP neural network model

Quantitative prediction of ternary mixed gases based on an SnO2 sensor array and an SSA-BP neural network model

Enhanced Sensing Performance of Sb-Doped Nanometer-Thin SnO2 Films toward CO and NH3 Gases

Concentration prediction of binary-component gases based on SnO2 sensor array with machine learning algorithms

Contact Info

Product

Resources

About

Quantitative prediction of ternary mixed gases based on an SnO₂ sensor array and an SSA-BP neural network model

Quantitative prediction of ternary mixed gases based on an SnO₂ sensor array and an SSA-BP neural network model

Enhanced Sensing Performance of Sb-Doped Nanometer-Thin SnO₂ Films toward CO and NH₃ Gases