Designing of screen-printed stannous oxide (SnO2) thick film sensors modified by cobalt and nitrogen elements for sensing some toxic gases and volatile organic compounds

Ahire, Satish Arvind; Koli, Prashant Bhimrao; Patil, Arun V.; Jagdale, Bapu S.; Bachhav, Ashwini Ashok; Pawar, Thansing B.

doi:10.1016/j.crgsc.2021.100213

Cited by 16 publications

(3 citation statements)

References 29 publications

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“…The SnO2-based thick film gas sensors are produced on alumina substrates using a standard screen-printing process [ [18], [19]]. By using Ball Milling Process 1.5% Pd is doped into SnO2 power.…”

Section: A Sensor Fabricationmentioning

confidence: 99%

Real-Time Monitoring of Toxic Gases using Artificial Neural Networks with SnO2-based Thick Film Gas Sensors

Bholey Nath Prasad

2024

jes

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The present study aims to develop an advanced system for real-time identification and measurement of harmful gases using Pd-doped SnO2-based thick film gas sensors integrated with Artificial Neural Networks. These sensors, renowned for their exceptional sensitivity and selectivity, undergo testing in a meticulously controlled gas chamber environment. Here, gas concentrations, temperature, and humidity are meticulously controlled. The gas chamber setup allows for mixing gases like carbon monoxide, nitrogen dioxide, and sulfur dioxide with nitrogen gas to achieve desired concentrations ranging from to . Temperature is kept at and relative humidity is maintained between to . The sensitivity analysis of the sensor demonstrates its adeptness in detecting low concentrations of target gases, with sensitivity increasing as gas concentrations rise, also the selectivity assessments highlight their ability to accurately differentiate between target gases and common interferents, ensuring precise detection even in complex gas mixtures. Response time testing indicates rapid detection capabilities, crucial and useful for emergencies. The Artificial Neural Network model, trained via the backpropagation algorithm, demonstrates remarkable accuracy, precision, recall, and F1 scores in predicting gas concentrations. The findings indicate that this integrated system offers a reliable and efficient solution for toxic gas detection, with potential applications in industrial safety and environmental monitoring.

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Section: A Sensor Fabricationmentioning

confidence: 99%

Real-Time Monitoring of Toxic Gases using Artificial Neural Networks with SnO2-based Thick Film Gas Sensors

Bholey Nath Prasad

2024

jes

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“…It came to the forefront of scientific and technological sectors in terms of industrial applications due to the inherent properties of materials. Materials science has also become promising in manufacturing gas sensors of photocatalytic degradation, 18 toxic gases and volatile organic compounds, 19 volatile petrol vapors, 20,21 greenhouse gases and relative humidity, 22,23 environmental remediation, 24 and pollutant detection. 25 Research has specialized in preparing pure polycrystalline ZnO nanofilms inlaying with aluminum (Al) by the spraying method.…”

Section: Introductionmentioning

confidence: 99%

Al³⁺-modified ZnO thin film sensor fabricated by the sputtering method: Characterization and a carbon monoxide gas detection study

Al-Maamori,

Al-Jamal,

Habeeb

et al. 2024

Journal of Chemical Research

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Al: ZnO films are prepared by spraying from the pure ZnO and Al with doping at different weight ratios 0.01, 0.03, 0.05, and 0.09. X-ray diffraction, atomic force microscopy, and energy-dispersive X-ray spectroscopy are used to analyze the structural properties of the films. The results of X-ray diffraction prove that polycrystalline Al:ZnO with a hexagonal wurtzite structure is preferentially oriented on the c-axis, and this is further confirmed by transmission electron microscopy. In addition, 0.09 wt% of Al-doping shows high orientation and homogeneity with the (002) plane, which leads to an increase in the surface roughness properties of the thin films as the root main square by 57.4%. The annealing process at high temperatures increases the conductivity of the Al:ZnO films. The rate of electronic mobility increases slightly with low doping and decreases with increasing doping until it reaches its lowest value (0.1 cm2 (V.s)−1) at a doping ratio of 0.035 wt%. The samples show considerable response for CO at 80 ppm gas concentration with gas responses of 85% and 40% at 90 °C for 0.03 wt% Al:ZnO and ZnO films, respectively. The overall study observed that fabricated sensor Al3+-doped ZnO is reliable and very rapid in detecting carbon monoxide vapors at moderately high temperatures and low gas concentrations.

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“…Hence, most of the researchers are working on the MOS based sensors due all the above listed advantage. There are many MOS material such as ZnO, NiO, CuO, Co3O4, CdS, NiFe2O4, ZnFe2O4, Bi2O3, V2O5, ZrO2, LaFeO3, LaCrO3, CeO2, etc [13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

The Al³⁺ doped modified ZnO sensor material: Fabrication, characterization and gas sensing characteristics of some environmental pollutant and greenhouse gases

Ingale

Koli²,

Shinde³

et al. 2023

J. Phys.: Conf. Ser.

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The current study examines the gas sensing properties of the fabricated material Al3+ modified ZnO. The material was fabricated by using co-precipitation technique. Here, sodium hydroxide was used as precipitating material to precipitate zinc as zinc hydroxide to convert it finally into ZnO. The insitu doping method was adapted to doped aluminum through ZnO lattice. The material was characterized by means of several characterization techniques. The X-ray diffraction (XRD) instrument utilized for structural investigation of the prepared material. The mean particle size estimated 28 nm using the Debye-Scherer equation. Scanning electron microscopy (SEM) was utilized for surface and topographic properties of the prepared material, while energy dispersive x-ray spectroscopy (EDX) was utilized to get atomic weight percentage of elements. The ultra violet diffuse reflectance spectroscopy (UV-DRS) was used to find the energy band gap of modified ZnO. The hexagonal crystal lattice of the materials was confirmed from transmission electron microscopy (TEM) analysis. Thick films of Al3+ doped ZnO made using a screen printing technology. The developed thick film sensor of Al3+ doped ZnO was utilized to sense certain harmful gases such as toluene vapors (TV), LPG, petrol vapors, CO2 and CO. The material showed considerable response for CO and LPG at 500 ppm gas concentration with 85.20% and 76.23% gas response at 90°C and 120°C respectively. The other gas sensing characteristics of the materials was also examined for the fabricated Al3+ doped ZnO sensor such as response and recovery, reusability, ppm variation and gas response. From overall study it was observed that fabricated sensor Al3+ doped ZnO is reliable, and very rapid to detect the carbon monoxide vapors and liquefied petroleum gas vapors (LPG) at moderately high temperature and low gas concentration. The built sensor’s gas sensing mechanism was assessed to detect CO and LPG.

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Designing of screen-printed stannous oxide (SnO2) thick film sensors modified by cobalt and nitrogen elements for sensing some toxic gases and volatile organic compounds

Cited by 16 publications

References 29 publications

Real-Time Monitoring of Toxic Gases using Artificial Neural Networks with SnO2-based Thick Film Gas Sensors

Real-Time Monitoring of Toxic Gases using Artificial Neural Networks with SnO2-based Thick Film Gas Sensors

Al³⁺-modified ZnO thin film sensor fabricated by the sputtering method: Characterization and a carbon monoxide gas detection study

The Al³⁺ doped modified ZnO sensor material: Fabrication, characterization and gas sensing characteristics of some environmental pollutant and greenhouse gases

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Designing of screen-printed stannous oxide (SnO2) thick film sensors modified by cobalt and nitrogen elements for sensing some toxic gases and volatile organic compounds

Cited by 16 publications

References 29 publications

Real-Time Monitoring of Toxic Gases using Artificial Neural Networks with SnO2-based Thick Film Gas Sensors

Real-Time Monitoring of Toxic Gases using Artificial Neural Networks with SnO2-based Thick Film Gas Sensors

Al3+-modified ZnO thin film sensor fabricated by the sputtering method: Characterization and a carbon monoxide gas detection study

The Al3+ doped modified ZnO sensor material: Fabrication, characterization and gas sensing characteristics of some environmental pollutant and greenhouse gases

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Al³⁺-modified ZnO thin film sensor fabricated by the sputtering method: Characterization and a carbon monoxide gas detection study

The Al³⁺ doped modified ZnO sensor material: Fabrication, characterization and gas sensing characteristics of some environmental pollutant and greenhouse gases