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Rapid detection of Salmonella in poultry environmental samples using real-time PCR coupled with immunomagnetic separation and whole genome amplification by Ji-Yeon Hyeon; David A. Mann; Jinquan Wang; Woo Kyun Kim; Xiangyu Deng is a Agricultural and Biological Sciences article available to read on EtoBox.
What is Rapid detection of Salmonella in poultry environmental samples using real-time PCR coupled with immunomagnetic separation and whole genome amplification about?
We evaluated the combination of immunomagnetic separation (IMS), multiple displacement amplification (MDA), and real-time PCR to detect __Salmonella__ from poultry environmental samples. The limits of detection (LODs) of IMS-MDA real-time PCR with different culture enrichment hours (0, 4, 6, and 8 h) were determined in artificially inoculated litter samples from a specific pathogen-free (SPF) poultry farm. In addition, __Salmonella__ detection rate of IMS-MDA real-time PCR with 8-h culture enrichment was compared with that of conventional real-time PCR and culture-based detection by analyzing 174 poultry environmental samples (boot swabs, drag swabs, and litter), and the levels of __Salmonella__ in the samples were quantified using the most probably number method. The LODs of IMS-MDA real-time PCR with 0, 4 to 6, and 8-h enrichment were 10, 1, and 0.1 CFU/g, respectively. __Salmonella__ was detected in 25 of the 174 environmental samples (14.4%) by IMS-MDA real-time PCR, compared with 24 (13.8%) by conventional real-time PCR and 19 (10.9%) by culturing. Cohen's kappa index indicated strong concordance (0.79) between IMS-MDA real-time PCR and culture detection. We demonstrated the p
Who reads Rapid detection of Salmonella in poultry environmental samples using real-time PCR coupled with immunomagnetic separation and whole genome amplification?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- Ji-Yeon Hyeon; David A. Mann; Jinquan Wang; Woo Kyun Kim; Xiangyu Deng
- Publisher
- Poultry Science Association; Oxford University Press; Elsevier BV; Oxford University Press (OUP) (ISSN 0032-5791)
- Published
- 2019
- Language
- EN
- Field
- Agricultural and Biological Sciences (Life Sciences)