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.
Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design / Bertocci, Francesco; Fort, Ada; Vignoli, Valerio; Mugnaini, Marco; Berni, Rossella.. - In: SENSORS. - ISSN 1424-8220. - STAMPA. - 17:(2017), pp. 1-21. [10.3390/S17061352]
Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design
BERNI, ROSSELLA
2017
Abstract
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.
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