• DocumentCode
    3250759
  • Title

    Optimising non-specific sensor arrays for poultry emission monitoring using GC-MS/O

  • Author

    Parcsi, Gavin ; Pillai, Sashi M. ; Sohn, Jae Ho ; Gallagher, Erin ; Dunlop, Mark ; Atzeni, Michael ; Lobsey, Craig ; Murphy, Kate ; Stuetz, Richard M.

  • Author_Institution
    UNSW Water Res. Centre, Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    205
  • Lastpage
    210
  • Abstract
    Continued population growth, expansion of poultry production and urban encroachment has resulted in increased odour complaints from local residents. Odour management has typically been based on buffer distances, however poultry expansion now requires accurate and reliable odour monitoring data for setting-up new broiler sheds and enlarging existing farms. Current olfactory and chemical based methods do not provide effective real-time monitoring, particularly for detecting unknown compounds. Senso-instrumental systems such as eNOSE offer potential odour monitoring opportunities, however current non-specific sensor array configurations are inappropriate for detecting the major contributing odorants to odour annoyance. GC-MS/O analysis of poultry shed emissions was used to identify the major contributing volatile organic compounds in terms of odour impact and chemical abundance. These compounds can now be used to develop sensor array configurations that detect odorous compounds associated with poultry shed emissions.
  • Keywords
    air pollution measurement; chromatography; electronic noses; farming; mass spectra; GC-MS/O analysis; broilers; chemical based methods; eNOSE; gas chromatography coupled mass spectrometry; nonspecific sensor arrays; odour management; odour monitoring; olfactory based methods; poultry shed emission monitoring; senso instrumental systems; volatile organic compounds; Birds; Chemicals; Compounds; Instruments; Monitoring; Olfactory; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2011 Seventh International Conference on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-1-4577-0675-2
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2011.6146628
  • Filename
    6146628