{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T12:47:41Z","timestamp":1793364461008,"version":"4.5.0"},"reference-count":90,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2020,6,16]],"date-time":"2020-06-16T00:00:00Z","timestamp":1592265600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["159763"],"award-info":[{"award-number":["159763"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["175754"],"award-info":[{"award-number":["175754"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nanomaterials"],"abstract":"<jats:p>Nitrogen dioxide (NO2) is a major air pollutant resulting in respiratory problems, from wheezing, coughing, to even asthma. Low-cost sensors based on WO3 nanoparticles are promising due to their distinct selectivity to detect NO2 at the ppb level. Here, we revealed that controlling the thickness of highly porous (97%) WO3 films between 0.5 and 12.3 \u03bcm altered the NO2 sensitivity by more than an order of magnitude. Therefore, films of WO3 nanoparticles (20 nm in diameter by N2 adsorption) with mixed \u03b3- and \u03b5-phase were deposited by single-step flame spray pyrolysis without affecting crystal size, phase composition, and film porosity. That way, sensitivity and selectivity effects were associated unambiguously to thickness, which was not possible yet with other sensor fabrication methods. At the optimum thickness (3.1 \u03bcm) and 125 \u00b0C, NO2 concentrations were detected down to 3 ppb at 50% relative humidity (RH), and outstanding NO2 selectivity to CO, methanol, ethanol, NH3 (all &gt; 105), H2, CH4, acetone (all &gt; 104), formaldehyde (&gt;103), and H2S (835) was achieved. Such thickness-optimized and porous WO3 films have strong potential for integration into low-power devices for distributed NO2 air quality monitoring.<\/jats:p>","DOI":"10.3390\/nano10061170","type":"journal-article","created":{"date-parts":[[2020,6,16]],"date-time":"2020-06-16T13:20:43Z","timestamp":1592313643000},"page":"1170","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Thickness Optimization of Highly Porous Flame-Aerosol Deposited WO3 Films for NO2 Sensing at ppb"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7442-0580","authenticated-orcid":false,"given":"Sebastian","family":"Abegg","sequence":"first","affiliation":[{"name":"Particle Technology Laboratory, ETH Zurich, Sonneggstrasse 3, CH-8006 Zurich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Klein Cerrejon","sequence":"additional","affiliation":[{"name":"Particle Technology Laboratory, ETH Zurich, Sonneggstrasse 3, CH-8006 Zurich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4127-752X","authenticated-orcid":false,"given":"Andreas T.","family":"G\u00fcntner","sequence":"additional","affiliation":[{"name":"Particle Technology Laboratory, ETH Zurich, Sonneggstrasse 3, CH-8006 Zurich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2042-249X","authenticated-orcid":false,"given":"Sotiris E.","family":"Pratsinis","sequence":"additional","affiliation":[{"name":"Particle Technology Laboratory, ETH Zurich, Sonneggstrasse 3, CH-8006 Zurich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,6,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"105578","DOI":"10.1016\/j.envint.2020.105578","article-title":"Bayesian geostatistical modelling of high-resolution NO2 exposure in Europe combining data from monitors, satellites and chemical transport models","volume":"138","author":"Beloconi","year":"2020","journal-title":"Environ. 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