Chemical selectivity and sensitivity of a 16-channel electronic nose for trace vapour detection

Strle, Drago (avtor), Štefane, Bogdan (avtor), Trifković, Mario (avtor), Midden, Marion van (avtor), Kvasić, Ivan (avtor), Zupanič, Erik (avtor), Muševič, Igor (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: artificial nose, signal processing, vapour trace detection, gas sensor, electronic nose, sensor array, capacitive microsensors, chemical sensing, explosive detection
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko; FKKT - Fakulteta za kemijo in kemijsko tehnologijo ; FMF - Fakulteta za matematiko in fiziko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2017
• Št. strani: 24 str.
• Številčenje: Vol. 17, iss. 12, art. 2845
• PID: 20.500.12556/RUL-131882
• UDK: 621.38:681.5
• ISSN pri članku: 1424-8220
• DOI: 10.3390/s17122845
• COBISS.SI-ID: 11909716
• Datum objave v RUL: 05.10.2021

Gradivo je del revije

• Naslov: Sensors
• Skrajšan naslov: Sensors
• Založnik: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 08.12.2017

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: umetni nos, signalno procesiranje, sistem za zaznavanje sledov molekul, senzor plina

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: J7-8272
• Naslov: Integrirani večkanalni umetni nos za zaznavanje sledov molekul v parni fazi