TY - GEN
T1 - Real-time chemical gas sensing of pathogenic microorganisms pollution in wastewater
AU - Soprani, M.
AU - Ponzoni, A.
AU - Sberveglieri, V.
AU - Carmona, E. Nunez
AU - Bhandari, M. P.
AU - Betto, G.
AU - Sberveglieri, G.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/5
Y1 - 2017/7/5
N2 - The amount of potable water on earth is limited and its quality is under constant threat due to microbiological and chemical pollutants. The proposed research's aim is the real-time wastewater microbiological pollution monitoring; through the detection of volatile organic compounds (VOCs) released from the metabolism of pathogenic microorganisms, that typically contaminate water. In order to obtain these results, the innovative olfactory System Small Sensor System (S3) tool was used. The S3 is equipped with an array consisting of 6 metal oxide semiconductors (MOS) gas sensors, 3 of which prepared by thin film technology, while the other 3 constructed with the novel nanowires technology. Furthermore, Gas Chromatography-Mass Spectrometry (GC-MS) with SPME technique was employed to correlate the VOCs detected by S3 to the indigenous pathogenic microorganisms. The efficiency of S3 device will have a key-role in a numerous application in food and environmental fields.
AB - The amount of potable water on earth is limited and its quality is under constant threat due to microbiological and chemical pollutants. The proposed research's aim is the real-time wastewater microbiological pollution monitoring; through the detection of volatile organic compounds (VOCs) released from the metabolism of pathogenic microorganisms, that typically contaminate water. In order to obtain these results, the innovative olfactory System Small Sensor System (S3) tool was used. The S3 is equipped with an array consisting of 6 metal oxide semiconductors (MOS) gas sensors, 3 of which prepared by thin film technology, while the other 3 constructed with the novel nanowires technology. Furthermore, Gas Chromatography-Mass Spectrometry (GC-MS) with SPME technique was employed to correlate the VOCs detected by S3 to the indigenous pathogenic microorganisms. The efficiency of S3 device will have a key-role in a numerous application in food and environmental fields.
KW - Gas sensing technology
KW - Microbiological pollution monitoring
KW - Nanowire sensor
KW - RGTO thin film sensors
KW - SPME-GC-MS
KW - Volatile organic compounds detection
KW - Wastewater purification process
UR - http://www.scopus.com/inward/record.url?scp=85027125155&partnerID=8YFLogxK
U2 - 10.1109/ISOEN.2017.7968877
DO - 10.1109/ISOEN.2017.7968877
M3 - Conference contribution
AN - SCOPUS:85027125155
T3 - ISOEN 2017 - ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, Proceedings
BT - ISOEN 2017 - ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, Proceedings
PB - Institute of Electrical and Electronics Engineers
T2 - 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose, ISOEN 2017
Y2 - 28 May 2017 through 31 May 2017
ER -
