Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Real-time chemical gas sensing of pathogenic microorganisms pollution in wastewater

Conference Paper
Publication Date:
2017
abstract:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Gas sensing technology; Microbiological pollution monitoring; Nanowire sensor; RGTO thin film sensors; SPME-GC-MS; Volatile organic compounds detection; Wastewater purification process
List of contributors:
Sberveglieri, Giorgio; NUNEZ CARMONA, Estefania; Ponzoni, Andrea; Sberveglieri, Veronica
Authors of the University:
NUNEZ CARMONA ESTEFANIA
PONZONI ANDREA
SBERVEGLIERI VERONICA
Handle:
https://iris.cnr.it/handle/20.500.14243/337912
  • Overview

Overview

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-85027125155&origin=inward
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)