Reproducibility tests with zinc oxide thick-film sensors

Zonta, Giulia; Astolfi, Michele; Casotti, Davide; Cruciani, Giuseppe; Fabbri, Barbara; Gaiardo, Andrea; Gherardi, S.; Guidi, V.; Landini, Nicolò; Valt, Matteo; Malagù, C.

doi:10.1016/j.ceramint.2019.11.178

Cited by 24 publications

(17 citation statements)

References 14 publications

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“…The material was deposited and pressed over a carbon tape placed over a silicon holder. As can be observed in Figure 3 a, the deposition on carbon tape resulted in the formation of a porous film, with porosity similar to that obtained in screen-printed films of other nanostructured MOX [ 24 ]. The analysis highlighted that the morphology of SmFeO 3 nanoparticles was spherical-like, with an average size of 40–50 nanometers ( Figure 3 b).…”

Section: Resultsmentioning

confidence: 58%

“…The SmFeO 3 nanopowder was mixed with organic vehicles in order to obtain a printable paste [ 20 ]. Afterwards, the gas sensing material was deposited over alumina substrates by means of screen-printing techniques [ 12 , 24 ]. The alumina substrates were equipped with interdigitated gold electrodes on the top-side and platinum heaters on the back-side of the substrates [ 24 ].…”

Section: Methodsmentioning

confidence: 99%

“…Afterwards, the gas sensing material was deposited over alumina substrates by means of screen-printing techniques [ 12 , 24 ]. The alumina substrates were equipped with interdigitated gold electrodes on the top-side and platinum heaters on the back-side of the substrates [ 24 ]. The thickness of the deposition was about 20–30 µm [ 13 ].…”

Section: Methodsmentioning

confidence: 99%

“…In order to enhance reproducibility, it is fundamental to work on the optimization of the fabrication method of the sensing layer. Subsequent thermal treatments, the homogeneity of nanostructures and the deposition of the paste are key aspects to obtain reproducible gas sensing devices [ 24 ]. Reproducibility is fundamental, particularly when sensors are employed for medical devices [ 3 , 25 ] because in these instruments response signals have to be processed by specific software based on machine learning techniques such as principal component analysis (PCA) or the support vector machine (SVM) [ 26 , 27 ], to reach a high discrimination capability for the target samples.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Nanostructured SmFeO3 Gas Sensors: Investigation of the Gas Sensing Performance Reproducibility for Colorectal Cancer Screening

Gaiardo

Zonta

Gherardi

et al. 2020

Sensors

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Among the various chemoresistive gas sensing properties studied so far, the sensing response reproducibility, i.e., the capability to reproduce a device with the same sensing performance, has been poorly investigated. However, the reproducibility of the gas sensing performance is of fundamental importance for the employment of these devices in on-field applications, and to demonstrate the reliability of the process development. This sensor property became crucial for the preparation of medical diagnostic tools, in which the use of specific chemoresistive gas sensors along with a dedicated algorithm can be used for screening diseases. In this work, the reproducibility of SmFeO3 perovskite-based gas sensors has been investigated. A set of four SmFeO3 devices, obtained from the same screen-printing deposition, have been tested in laboratory with both controlled concentrations of CO and biological fecal samples. The fecal samples tested were employed in the clinical validation protocol of a prototype for non-invasive colorectal cancer prescreening. Sensors showed a high reproducibility degree, with an error lower than 2% of the response value for the test with CO and lower than 6% for fecal samples. Finally, the reproducibility of the SmFeO3 sensor response and recovery times for fecal samples was also evaluated.

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Section: Resultsmentioning

confidence: 58%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Nanostructured SmFeO3 Gas Sensors: Investigation of the Gas Sensing Performance Reproducibility for Colorectal Cancer Screening

Gaiardo

Zonta

Gherardi

et al. 2020

Sensors

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show abstract

“…Both hard [ 10 , 11 ] and soft [ 12 , 13 ] nanomaterials were exploited, as well as hybrid composites [ 14 ], towards improving sensitivity, selectivity and stability of the final sensing device. Usually, the nanostructured semiconductor needs to be thermal- or photo-activated to work properly, enabling a fast and reversible reaction between the gas target and sensing material surface [ 15 , 16 , 17 , 18 ]. Recently, the market demand for near-zero power consumption sensors, integrable in smartphones and other portable devices has driven the development of materials that work at room temperature, without any further activation [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Low-Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis

Gaiardo

Novel

Scattolo

et al. 2021

Sensors

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The substrate plays a key role in chemoresistive gas sensors. It acts as mechanical support for the sensing material, hosts the heating element and, also, aids the sensing material in signal transduction. In recent years, a significant improvement in the substrate production process has been achieved, thanks to the advances in micro- and nanofabrication for micro-electro-mechanical system (MEMS) technologies. In addition, the use of innovative materials and smaller low-power consumption silicon microheaters led to the development of high-performance gas sensors. Various heater layouts were investigated to optimize the temperature distribution on the membrane, and a suspended membrane configuration was exploited to avoid heat loss by conduction through the silicon bulk. However, there is a lack of comprehensive studies focused on predictive models for the optimization of the thermal and mechanical properties of a microheater. In this work, three microheater layouts in three membrane sizes were developed using the microfabrication process. The performance of these devices was evaluated to predict their thermal and mechanical behaviors by using both experimental and theoretical approaches. Finally, a statistical method was employed to cross-correlate the thermal predictive model and the mechanical failure analysis, aiming at microheater design optimization for gas-sensing applications.

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Gas-sensing performance of SnO2-based chemoresistive sensors after irradiation with alpha particles and gamma-rays

Zonta,

Astolfi,

Cerboni

et al. 2024

J Radioanal Nucl Chem

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Reproducibility tests with zinc oxide thick-film sensors

Cited by 24 publications

References 14 publications

Nanostructured SmFeO3 Gas Sensors: Investigation of the Gas Sensing Performance Reproducibility for Colorectal Cancer Screening

Nanostructured SmFeO3 Gas Sensors: Investigation of the Gas Sensing Performance Reproducibility for Colorectal Cancer Screening

Optimization of a Low-Power Chemoresistive Gas Sensor: Predictive Thermal Modelling and Mechanical Failure Analysis

Gas-sensing performance of SnO2-based chemoresistive sensors after irradiation with alpha particles and gamma-rays

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