{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T04:13:52Z","timestamp":1729052032394},"reference-count":26,"publisher":"EDP Sciences","license":[{"start":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T00:00:00Z","timestamp":1728950400000},"content-version":"vor","delay-in-days":288,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["EPJ Web Conf."],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:p>Ethanol plays a crucial role in modern industrial processes and consumer products. Despite its presence in human activity, short and long-term exposure to gaseous ethanol poses risks to health conditions and material damage, making the control of its concentration in the atmosphere of high importance. Ethanol optical sensors based on electromagnetic surface waves (ESWs) are presented, with sensitivity to ethanol vapours being achieved by the inclusion of ethanol-adsorptive zinc oxide (ZnO) layers. The changes in optical properties modulate the resonant conditions of ESWs, enabling the tracking of ethanol concentration in the atmosphere. A comprehensive comparative study of sensor performance is carried out between surface plasmon resonance (SPR) and Bloch surface wave (BSW) based sensors. Sensor efficiency is simulated by transfer matrix method towards optimized figures of merit (FoM). Preliminary results validate ethanol sensitivity of BSW based sensor, showcasing a possible alternative to electromagnetic and plasmonic sensors.<\/jats:p>","DOI":"10.1051\/epjconf\/202430500016","type":"journal-article","created":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T07:53:52Z","timestamp":1728978832000},"page":"00016","source":"Crossref","is-referenced-by-count":0,"title":["Comparative Analysis of Ethanol Gas Sensors Based on Bloch Surface Wave and Surface Plasmon Resonance"],"prefix":"10.1051","volume":"305","author":[{"given":"Jo\u00e3o P.M.","family":"Carvalho","sequence":"first","affiliation":[]},{"given":"Miguel A.S.","family":"Almeida","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o P.","family":"Mendes","sequence":"additional","affiliation":[]},{"given":"Lu\u00eds C.C.","family":"Coelho","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 M.M.M.","family":"De Almeida","sequence":"additional","affiliation":[]}],"member":"250","published-online":{"date-parts":[[2024,10,15]]},"reference":[{"issue":"5","key":"R1","doi-asserted-by":"crossref","first-page":"7080","DOI":"10.1021\/acsnano.1c10827","volume":"16","author":"Khatib","year":"2022","journal-title":"ACS nano"},{"issue":"21","key":"R2","doi-asserted-by":"crossref","first-page":"7727","DOI":"10.3390\/ma15217727","volume":"15","author":"Xie","year":"2022","journal-title":"Materials"},{"key":"R3","doi-asserted-by":"crossref","unstructured":"Khan A., Kanwal H., Bibi S., Mushtaq S., Khan A., Khan Y. 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