{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:36:21Z","timestamp":1777556181147,"version":"3.51.4"},"reference-count":47,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2017,6,10]],"date-time":"2017-06-10T00:00:00Z","timestamp":1497052800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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   \u2218     C for CO (284 ppm, from design) and response equal to \u221214.17% at     185   \u2218     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     \u2212 15 . 39 %     with a working temperature at     181 . 0   \u2218     C, whereas for YCo      0 . 95     Pd      0 . 05     O     3     (Mt3), the best response value is achieved at     \u2212 15 . 40 %     with the temperature equal to     204   \u2218     C.<\/jats:p>","DOI":"10.3390\/s17061352","type":"journal-article","created":{"date-parts":[[2017,6,12]],"date-time":"2017-06-12T10:27:59Z","timestamp":1497263279000},"page":"1352","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Optimization of Perovskite Gas Sensor Performance: Characterization, Measurement and Experimental Design"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8054-2461","authenticated-orcid":false,"given":"Francesco","family":"Bertocci","sequence":"first","affiliation":[{"name":"Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0916-1516","authenticated-orcid":false,"given":"Ada","family":"Fort","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2509-6566","authenticated-orcid":false,"given":"Valerio","family":"Vignoli","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2410-1581","authenticated-orcid":false,"given":"Marco","family":"Mugnaini","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rossella","family":"Berni","sequence":"additional","affiliation":[{"name":"Department of Statistics, Computer Science, Applications \u201cG. Parenti\u201d, University of Florence, Viale Morgagni 59, 50134 Florence, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1016\/j.matlet.2003.07.001","article-title":"Synthesis of crystalline YCoO3 perovskite via sol-gel method","volume":"58","author":"Luhrs","year":"2004","journal-title":"Mater. Lett."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Addabbo, T., Bertocci, F., Fort, A., Mugnaini, M., Rocchi, S., and Vignoli, V. (2013, January 6\u20139). Surface state model for metal oxide p-type conductometric CO sensors. 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