Literature DB >> 26525251

Comparative Evaluation of Veriflow® Listeria monocytogenes to USDA and AOAC Culture Based Methods for the Detection of Listeria monocytogenes in Food.

Adam C Joelsson1, Ashley S Brown, Amrita Puri, Martin P Keough, Zara E Gaudioso, Nicholas A Siciliano, Adam E Snook.   

Abstract

Veriflow® Listeria monocytogenes (LM) is a molecular based assay for the presumptive detection of Listeria monocytogenes from environmental surfaces, dairy, and ready-to-eat (RTE) food matrixes (hot dogs and deli meat). The assay utilizes a PCR detection method coupled with a rapid, visual, flow-based assay that develops in 3 min post PCR amplification and requires only 24 h of enrichment for maximum sensitivity. The Veriflow LM system eliminates the need for sample purification, gel electrophoresis, or fluorophore-based detection of target amplification, and does not require complex data analysis. This Performance Tested Method(SM) validation study demonstrated the ability of the Veriflow LM method to detect low levels of artificially inoculated L. monocytogenes in seven distinct environmental and food matrixes. In each unpaired reference comparison study, probability of detection analysis indicated no significant difference between the Veriflow LM method and the U.S. Department of Agriculture, Food Safety and Inspection Service Microbiology Laboratory Guidebook 8.08 or AOAC 993.12 reference method. Fifty strains of L. monocytogenes were detected in the inclusivity study, while 39 nonspecific organisms were undetected in the exclusivity study. The study results show that Veriflow LM is a sensitive, selective, and robust assay for the presumptive detection of L. monocytogenes sampled from environmental, dairy, or RTE (hot dogs and deli meat) food matrixes.

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Year:  2015        PMID: 26525251     DOI: 10.5740/jaoacint.15-122

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  2 in total

1.  Application of an Environmental Phage-Based Assay (Sample6 Detect HT/L) for the Detection of Listeria spp. in Ice Cream.

Authors:  Elba Veronica Arias-Rios; Kristina Tenney; Tam Mai; Sam Anderson; Ruth Marie Cantera; Jasmine M Pando; Brandon Selover; Lourdes M Nadala; Seana K Davidson; Mansour Samadpour
Journal:  J AOAC Int       Date:  2019-01-28       Impact factor: 1.913

2.  Development of multiple cross displacement amplification label-based gold nanoparticles lateral flow biosensor for detection of Listeria monocytogenes.

Authors:  Yi Wang; Hui Li; Yan Wang; Hua Li; Lijuan Luo; Jianguo Xu; Changyun Ye
Journal:  Int J Nanomedicine       Date:  2017-01-12
  2 in total

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