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2017 ; 17
(6
): ä Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement
and Experimental Design
#MMPMID28604587
Bertocci F
; Fort A
; Vignoli V
; Mugnaini M
; Berni R
Sensors (Basel)
2017[Jun]; 17
(6
): ä PMID28604587
show ga
Eight different types of nanostructured perovskites based on YCoO 3 with
different chemical compositions are prepared as gas sensor materials, and they
are studied with two target gases NO 2 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 0 . 9 Pd 0 . 1 O 3 (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 NO 2 (16 ppm, from design). Analogously,
for NO 2 (16 ppm, from design), the material type YCo 0 . 9 O 2 . 85 + 1 % Pd
(Mt8) allows for optimizing the response value at - 15 . 39 % with a working
temperature at 181 . 0 ? C, whereas for YCo 0 . 95 Pd 0 . 05 O 3 (Mt3), the best
response value is achieved at - 15 . 40 % with the temperature equal to 204 ? C.