Literature DB >> 21803916

Comparison of real-time PCR, reverse transcriptase real-time PCR, loop-mediated isothermal amplification, and the FDA conventional microbiological method for the detection of Salmonella spp. in produce.

Guodong Zhang1, Eric W Brown, Narjol González-Escalona.   

Abstract

Contamination of foods, especially produce, with Salmonella spp. is a major concern for public health. Several methods are available for the detection of Salmonella in produce, but their relative efficiency for detecting Salmonella in commonly consumed vegetables, often associated with outbreaks of food poisoning, needs to be confirmed. In this study, the effectiveness of three molecular methods for detection of Salmonella in six produce matrices was evaluated and compared to the FDA microbiological detection method. Samples of cilantro (coriander leaves), lettuce, parsley, spinach, tomato, and jalapeno pepper were inoculated with Salmonella serovars at two different levels (10(5) and <10(1) CFU/25 g of produce). The inoculated produce was assayed by the FDA Salmonella culture method (Bacteriological Analytical Manual) and by three molecular methods: quantitative real-time PCR (qPCR), quantitative reverse transcriptase real-time PCR (RT-qPCR), and loop-mediated isothermal amplification (LAMP). Comparable results were obtained by these four methods, which all detected as little as 2 CFU of Salmonella cells/25 g of produce. All control samples (not inoculated) were negative by the four methods. RT-qPCR detects only live Salmonella cells, obviating the danger of false-positive results from nonviable cells. False negatives (inhibition of either qPCR or RT-qPCR) were avoided by the use of either a DNA or an RNA amplification internal control (IAC). Compared to the conventional culture method, the qPCR, RT-qPCR, and LAMP assays allowed faster and equally accurate detection of Salmonella spp. in six high-risk produce commodities.

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Year:  2011        PMID: 21803916      PMCID: PMC3187133          DOI: 10.1128/AEM.00520-11

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  42 in total

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Authors:  V M Bohaychuk; G E Gensler; M E McFall; R K King; D G Renter
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8.  Detection of live Salmonella sp. cells in produce by a TaqMan-based quantitative reverse transcriptase real-time PCR targeting invA mRNA.

Authors:  Narjol González-Escalona; Thomas S Hammack; Mindi Russell; Andrew P Jacobson; Antonio J De Jesús; Eric W Brown; Keith A Lampel
Journal:  Appl Environ Microbiol       Date:  2009-04-17       Impact factor: 4.792

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  14 in total

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3.  Effects of climate change on Salmonella infections.

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5.  Quantification of bacterial indicators and zoonotic pathogens in dairy wastewater ponds.

Authors:  Robert S Dungan; Marcus Klein; April B Leytem
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6.  Ecological prevalence, genetic diversity, and epidemiological aspects of Salmonella isolated from tomato agricultural regions of the Virginia Eastern Shore.

Authors:  Rebecca L Bell; Jie Zheng; Erik Burrows; Sarah Allard; Charles Y Wang; Christine E Keys; David C Melka; Errol Strain; Yan Luo; Marc W Allard; Steven Rideout; Eric W Brown
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7.  Efficient Detection of Pathogenic Leptospires Using 16S Ribosomal RNA.

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9.  Evaluation of Two Loop-mediated Isothermal Amplification Methods for the Detection of Salmonella Enteritidis and Listeria Monocytogenes in Artificially Contaminated Ready-to-Eat Fresh Produce.

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Journal:  Ital J Food Saf       Date:  2015-08-28

10.  Co-enriching microflora associated with culture based methods to detect Salmonella from tomato phyllosphere.

Authors:  Andrea R Ottesen; Antonio Gonzalez; Rebecca Bell; Caroline Arce; Steven Rideout; Marc Allard; Peter Evans; Errol Strain; Steven Musser; Rob Knight; Eric Brown; James B Pettengill
Journal:  PLoS One       Date:  2013-09-09       Impact factor: 3.240

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