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Identifying major contributing sources to odour annoyance using a non-specific gas sensor array

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Sohn, J.H., Pioggia, G., Craig, I.P., Stuetz, R.M. and Atzeni, M.G. (2009) Identifying major contributing sources to odour annoyance using a non-specific gas sensor array. Biosystems Engineering, 102 (3). pp. 305-312.

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Article Link: http://dx.doi.org/10.1016/j.biosystemseng.2008.12....

Publisher URL: http://www.elsevier.com


Identification of major contributors to odour annoyance in areas with multiple emission sources is necessary to address and resolve odour disputes. In an effort to develop an appropriate tool for this task, odour samples were collected on-site at a piggery and an abattoir (the major odour sources in the area) and at surrounding off-site areas, then analysed using a commercial non-specific chemical sensor array to develop an odour fingerprint database. The developed odour fingerprint database was analysed using two pattern recognition algorithms including a partial least squares-discriminant analysis (PLS-DA) and a Kohonen self-organising map (KSOM). The KSOM model could identify odour samples sourced from the piggery shed 15, piggery pond 8, piggery pond 9, abattoir, motel and others with mean percentage values of 77.5, 65.0, 90.2, 75.7, 44.8 and 64.6%, respectively.

Item Type:Article
Corporate Creators:Animal Science
Additional Information:© Crown Copyright. © Elsevier Ltd.
Keywords:Kohonen self-organising map (KSOM); multiple emission sources; non-specific chemical sensor array; odour annoyance; odour fingerprint database; partial least squares-discriminant analysis (PLS-DA).
Subjects:Science > Science (General)
Technology > Technology (General)
Live Archive:23 Mar 2009 02:10
Last Modified:03 Sep 2021 16:48

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