{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T14:00:55Z","timestamp":1782136855652,"version":"3.54.5"},"reference-count":37,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2019,7,30]],"date-time":"2019-07-30T00:00:00Z","timestamp":1564444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2018YFB2002800"],"award-info":[{"award-number":["2018YFB2002800"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>High performance mixed potential type NO2 sensors using porous yttria-stabilized zirconia (YSZ) layers doped with different concentration graphite as solid electrolyte and LaFeO3 as sensing electrode were fabricated and characterized. LaFeO3 was prepared by a typical citrate sol\u2013gel method and characterized using XRD. The surface morphology and porosity of porous YSZ layers were characterized by field emission scanning electron microscope (FESEM). The sensor doped with 3 wt% graphite shows the highest response (\u221276.4 mV to 80 ppm NO2) and the response is linearly dependent on the logarithm of NO2 concentration in the range of 10\u2013200 ppm. The sensor measurement results also present good repeatability and cross-sensitivity.<\/jats:p>","DOI":"10.3390\/s19153337","type":"journal-article","created":{"date-parts":[[2019,7,30]],"date-time":"2019-07-30T11:15:56Z","timestamp":1564485356000},"page":"3337","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["High Performance Mixed Potential Type NO2 Gas Sensor Based on Porous YSZ Layer Formed with Graphite Doping"],"prefix":"10.3390","volume":"19","author":[{"given":"Hao","family":"Hong","sequence":"first","affiliation":[{"name":"College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianwen","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Microelectronics, Delft University of Technology, 2628 CD Delft, The Netherlands"},{"name":"China Research Institute, Delft University of Technology, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cinan","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2582-8042","authenticated-orcid":false,"given":"Zewen","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Microelectronics, Tsinghua University, Beijing 100084, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.snb.2005.11.055","article-title":"Sensor for directly determining the exhaust gas recirculation rate\u2014EGR sensor","volume":"119","author":"Moos","year":"2006","journal-title":"Sens. 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