E-nose identification of Salmonella enterica in poultry manure

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dc.authoridRahman, Shafiqur/0000-0002-9737-5831
dc.authoridKhaitsa, Margaret/0000-0002-7837-6062
dc.contributor.authorKizil, U.
dc.contributor.authorGenc, L.
dc.contributor.authorGenc, T. T.
dc.contributor.authorRahman, S.
dc.contributor.authorKhaitsa, M. L.
dc.date.accessioned2025-01-27T20:27:30Z
dc.date.available2025-01-27T20:27:30Z
dc.date.issued2015
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractA DiagNose II electronic nose (e-nose) system was tested to evaluate the performance of such systems in the detection of the Salmonella enterica pathogen in poultry manure. To build a database, poultry manure samples were collected from 7 broiler houses, samples were homogenised, and subdivided into 4 portions. One portion was left as is; the other three portions were artificially infected with S. enterica. An artificial neural network (ANN) model was developed and validated using the developed database. In order to test the performance of DiagNose II and the ANN model, 16 manure samples were collected from 6 different broiler houses and tested using these two systems. The results showed that DiagNose II was able to classify manure samples correctly as infected or non-infected based on the ANN model developed with a 94% level of accuracy.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [111O577]
dc.description.sponsorshipThis work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) [grant number 111O577].
dc.identifier.doi10.1080/00071668.2015.1014467
dc.identifier.endpage156
dc.identifier.issn0007-1668
dc.identifier.issn1466-1799
dc.identifier.issue2
dc.identifier.pmid25650129
dc.identifier.scopus2-s2.0-84928475609
dc.identifier.scopusqualityQ1
dc.identifier.startpage149
dc.identifier.urihttps://doi.org/10.1080/00071668.2015.1014467
dc.identifier.urihttps://hdl.handle.net/20.500.12428/22709
dc.identifier.volume56
dc.identifier.wosWOS:000353414200002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofBritish Poultry Science
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectElectronic Nose
dc.subjectPattern-Recognition
dc.subjectArray
dc.subjectComponent
dc.subjectSensors
dc.subjectVapors
dc.subjectOdors
dc.titleE-nose identification of Salmonella enterica in poultry manure
dc.typeArticle

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