Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design
Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy
Department of Statistics, Computer Science, Applications “G. Parenti”, University of Florence, Viale Morgagni 59, 50134 Florence, Italy
Author to whom correspondence should be addressed.
Academic Editor: Giovanni Neri
Received: 8 April 2017 / Revised: 1 June 2017 / Accepted: 4 June 2017 / Published: 10 June 2017
Eight different types of nanostructured perovskites based on YCoO
with different chemical compositions are prepared as gas sensor materials, and they are studied with two target gases NO
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 YCo
(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
C for CO (284 ppm, from design) and response equal to −14.17% at
C for NO
(16 ppm, from design). Analogously, for NO
(16 ppm, from design), the material type YCo
Pd (Mt8) allows for optimizing the response value at
with a working temperature at
C, whereas for YCo
(Mt3), the best response value is achieved at
with the temperature equal to
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MDPI and ACS Style
Bertocci, F.; Fort, A.; Vignoli, V.; Mugnaini, M.; Berni, R. Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design. Sensors 2017, 17, 1352.
Bertocci F, Fort A, Vignoli V, Mugnaini M, Berni R. Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design. Sensors. 2017; 17(6):1352.
Bertocci, Francesco; Fort, Ada; Vignoli, Valerio; Mugnaini, Marco; Berni, Rossella. 2017. "Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design." Sensors 17, no. 6: 1352.
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