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Springerplus

Title:		The detection of foodborne bacteria on beef: the application of the electronic nose
Author(s):		Abdallah SA; Al-Shatti LA; Alhajraf AF; Al-Hammad N; Al-Awadi B;
Address:		"General Science Unit, College of Nursing, Public Authority for Applied Education & Training (PAAET), leave from Women's College for Arts, Science & Education, Botany Department, Ain Shams University, Al-Shuwaikh B, PO Box 64923, Kuwait City, 70466 Kuwait. On tenured Cairo, Egypt. Biomedical Sciences Department, College of Nursing, PAAET, Kragujevac, Kuwait City, Kuwait"
Journal Title:		Springerplus
Year:		2013
Volume:		20131223
Issue:
Page Number:		687 -
DOI:		10.1186/2193-1801-2-687
ISSN/ISBN:		2193-1801 (Print) 2193-1801 (Electronic) 2193-1801 (Linking)
Abstract:		"This study aims to investigate the application of a fast electronic nose system (Cyranose 320) for detecting foodborne bacteria. The system proved to be very efficient in detecting microbes in beef and sausage samples. In the first part of the study, the total viable counts (TVC) from fresh and frozen beef samples were determined using the standard microbiological method and by the application of the electronic nose. The second part applied the electronic nose to beef before and after contamination with different bacterial pathogens separately: E. coli O157: H7, Salmonellatyphimurium 857, Staphylococcus aureus 29213 and Pseudomonas aeruginosa 27853. The results revealed that the Cyranose 320 can detect the TVC in different beef and sausage samples and quantify the volatile organic compounds produced at concentrations from 50 ppb to > 350 ppb. The concentrations of gases collected from the samples before and after separate contamination with these pathogenic bacteria were highly significantly correlated (P < 0.005). From this study one can conclude that the electronic nose system is a rapid way for detecting volatile organic compounds produced by foodborne bacteria that contaminate beef"
Keywords:		Electronic nose Food Pathogens Rapid detection;
Notes:		"PubMed-not-MEDLINEAbdallah, Soad A Al-Shatti, Laila A Alhajraf, Ali F Al-Hammad, Noura Al-Awadi, Bashayer eng Switzerland 2014/01/05 Springerplus. 2013 Dec 23; 2:687. doi: 10.1186/2193-1801-2-687. eCollection 2013"