Stability evaluation of YCoO3 basedperovskites used for NO2 detection

Bertocci, Francesco; Fort, Ada; Mugnaini, Marco

doi:10.1109/sas.2016.7479891

Cited by 5 publications

(15 citation statements)

References 19 publications

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“…The work in [11] shows that the aging process of the chemical film can be limited using a low working temperature by providing savings in terms of electrical power consumption. The achieved optimal solution, related to the maximization of the sensor response, may be viewed as a global performance measure for each material type, by considering the related gas concentration, the working temperature and the other effects involved in the models, also considering first order interactions.…”

Section: Model and Optimization Resultsmentioning

confidence: 99%

“…The responses of all of the tested materials to NO

_{x}

are satisfactory at temperatures below 200 °C. In this range of temperature, the CO detection is negligible [3,11]. …”

Section: Preparation Of the Sensing Materials Sensor Realization mentioning

confidence: 99%

“…Furthermore, the levels of the experimental factors have been chosen by considering the quality of CO and NO

_{2}

detection, [11], based not only on the amplitude of the response, but also on the response time, that is the time for the sensor response signal to go from 10% to 90% of its steady state value, when the sensor response is exposed to a step change of the target gas concentration. For all of the materials under study, the response time for CO and NO

_{2}

is less than 2 and 4 min, respectively (i.e., around 70 s at

300^{\circ}

C in 250 ppm of CO and 230 s at

200^{\circ}

C in 10 ppm of NO

_{2}

for Mt1).…”

Section: Preparation Of the Sensing Materials Sensor Realization mentioning

confidence: 99%

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Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design

Bertocci

Fort

Mugnaini

et al. 2017

Sensors

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Eight different types of nanostructured perovskites based on YCoO3 with different chemical compositions are prepared as gas sensor materials, and they are studied with two target gases NO2 and CO. Moreover, a statistical approach is adopted to optimize their performance. The innovative contribution is carried out through a split-plot design planning and modeling, also involving random effects, for studying Metal Oxide Semiconductors (MOX) sensors in a robust design context. The statistical results prove the validity of the proposed approach; in fact, for each material type, the variation of the electrical resistance achieves a satisfactory optimized value conditional to the working temperature and by controlling for the gas concentration variability. Just to mention some results, the sensing material YCo0.9Pd0.1O3 (Mt1) achieved excellent solutions during the optimization procedure. In particular, Mt1 resulted in being useful and feasible for the detection of both gases, with optimal response equal to +10.23% and working temperature at 312∘C for CO (284 ppm, from design) and response equal to −14.17% at 185∘C for NO2 (16 ppm, from design). Analogously, for NO2 (16 ppm, from design), the material type YCo0.9O2.85+1%Pd (Mt8) allows for optimizing the response value at −15.39% with a working temperature at 181.0∘C, whereas for YCo0.95Pd0.05O3 (Mt3), the best response value is achieved at −15.40% with the temperature equal to 204∘C.

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Section: Model and Optimization Resultsmentioning

confidence: 99%

“…The responses of all of the tested materials to NO

_{x}

are satisfactory at temperatures below 200 °C. In this range of temperature, the CO detection is negligible [3,11]. …”

Section: Preparation Of the Sensing Materials Sensor Realization mentioning

confidence: 99%

“…Furthermore, the levels of the experimental factors have been chosen by considering the quality of CO and NO

_{2}

_{2}

is less than 2 and 4 min, respectively (i.e., around 70 s at

300^{\circ}

C in 250 ppm of CO and 230 s at

200^{\circ}

C in 10 ppm of NO

_{2}

for Mt1).…”

Section: Preparation Of the Sensing Materials Sensor Realization mentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design

Bertocci

Fort

Mugnaini

et al. 2017

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…There have only been a few studies discussing the combination of the UV illumination of the sensor at higher temperature and the mechanisms responsible for operation under such conditions [ 34 , 35 ]. One of the most important problems with MOX-based gas sensors is baseline drift, which has to be reduced to obtain the long-term stability of the sensors [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of Temperature and UV Irradiation on Dynamics of NO2 Sensors Based on ZnO Nanostructures

2017

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The main object of this study is the improvement of the dynamics of NO2 sensors based on ZnO nanostructures. Investigations presented in this paper showed that the combination of temperature and ultraviolet (UV) activation of the sensors can significantly decrease the sensor response and regeneration times. In comparison with the single activation method (elevated temperature or UV), these times for 1 ppm of NO2 decreased from about 10 min (or more) to less than 40 s. In addition, at the optimal conditions (200 °C and UV), sensors were very stable, were fully scalable (in the range on NO2 concentration of 1–20 ppm) and baseline drift was significantly reduced. Furthermore, in this paper, extensive studies of the influence of temperature and carrier gas (nitrogen and air) on NO2 sensing properties of the ZnO nanostructures were conducted. The NO2 sensing mechanisms of the sensors operating at elevated temperatures and under UV irradiation were also discussed. Our study showed that sensor responses to NO2 and response/regeneration times are comparable from sensor to sensor in air and nitrogen conditions, which suggests that the proposed simple technology connected with well-chosen operation conditions is repeatable. The estimated limit of detection of the sensors is within the level of ≈800 ppb in nitrogen and ≈700 ppb in air.

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“…Perovskites, consisting of YCoO

-based powder, have been developed for the detection of harmful gases and for industrial applications. These materials have received considerable attention in recent years [ 1 , 2 ], due to their ability to detect chemical contaminants in the ambient air, including the byproducts of combustion, such as nitrogen dioxide, NO

, and carbon monoxide, CO, which are known as target gases (gas). The latter are extremely toxic, even at low concentrations, and in urban areas they can reach high concentrations, especially near busy roads or industrial areas.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Gas Sensors Based on Advanced Nanomaterials through Split-Plot Designs and GLMMs

Berni

Bertocci

2018

Sensors

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This paper deals with the planning and modeling of a split-plot experiment to improve novel gas sensing materials based on Perovskite, a nano-structured, semi-conductor material that is sensitive to changes in the concentration of hazardous gas in the ambient air. The study addresses both applied and theoretical issues. More precisely, it focuses on (i) the detection of harmful gases, e.g., NO2 and CO, which have a great impact on industrial applications as well as a significantly harmful impact on human health; (ii) the planning and modeling of a split-plot design for the two target gases by applying a dual-response modeling approach in which two models, e.g., location and dispersion models, are estimated; and (iii) a robust process optimization conducted in the final modeling step for each target gas and for each gas sensing material, conditioned to the minimization of the working temperature. The dual-response modeling allows us to achieve satisfactory estimates for the process variables and, at the same time, good diagnostic valuations. Optimal solutions are obtained for each gas sensing material while also improving the results achieved from previous studies.

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Stability evaluation of YCoO3 basedperovskites used for NO2 detection

Cited by 5 publications

References 19 publications

Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design

Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design

Impact of Temperature and UV Irradiation on Dynamics of NO2 Sensors Based on ZnO Nanostructures

Optimization of Gas Sensors Based on Advanced Nanomaterials through Split-Plot Designs and GLMMs

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