20.500.12556/RUL-131882 Chemical selectivity and sensitivity of a 16-channel electronic nose for trace vapour detection Good chemical selectivity of sensors for detecting vapour traces of targeted molecules is vital to reliable detection systems for explosives and other harmful materials. We present the design, construction and measurements of the electronic response of a 16 channel electronic nose based on 16 differential microcapacitors, which were surface-functionalized by different silanes. The e-nose detects less than 1 molecule of TNT out of 10$^{+12}$ N$_2$ molecules in a carrier gas in 1 s. Differently silanized sensors give different responses to different molecules. Electronic responses are presented for TNT, RDX, DNT, H$_2$S, HCN, FeS, NH$_3$, propane, methanol, acetone, ethanol, methane, toluene and water. We consider the number density of these molecules and find that silane surfaces show extreme affinity for attracting molecules of TNT, DNT and RDX. The probability to bind these molecules and form a surface-adsorbate is typically 10$^{+7}$ times larger than the probability to bind water molecules, for example. We present a matrix of responses of differently functionalized microcapacitors and we propose that chemical selectivity of multichannel e-nose could be enhanced by using artificial intelligence deep learning methods. artificial nose signal processing vapour trace detection gas sensor electronic nose sensor array capacitive microsensors chemical sensing explosive detection umetni nos signalno procesiranje sistem za zaznavanje sledov molekul senzor plina true false true Angleški jezik Slovenski jezik Članek v reviji 2021-10-05 15:15:08 2021-10-05 15:15:09 2022-09-10 04:14:22 0000-00-00 00:00:00 2017 0 0 24 str. iss. 12, art. 2845 Vol. 17 Dec. 2017 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.38:681.5 1424-8220 10.3390/s17122845 11909716 RAZ_Strle_Drago_2017.pdf RAZ_Strle_Drago_2017.pdf 1 94C532FEAC011E3CDA6A7067BFAEC359 c705be206bfe4fd727fea6016d18566430614847ee4d3c2dc104eea8f20f8ca8 3fcc72ec-25de-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149324 http://www.mdpi.com/1424-8220/17/12/2845 1 fa296a97-25dd-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=149323 Fakulteta za elektrotehniko Fakulteta za kemijo in kemijsko tehnologijo Fakulteta za matematiko in fiziko 0 0 0