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Author (up) Hennechart-Collette, C.; Martin-Latil, S.; Fraisse, A.; Perelle, S. doi  openurl
  Title Comparison of three extraction methods to detect noroviruses in dairy products Type Journal Article
  Year 2017 Publication Food microbiology Abbreviated Journal Food Microbiol  
  Volume 61 Issue Pages 113-119  
  Corporate Author Thesis  
  Address Universite Paris-Est, Anses, Laboratory for Food Safety, 14 rue Pierre et Marie Curie, F-94700, Maisons-Alfort, France. Electronic address: sylvie.perelle@anses.fr  
  Keywords Animals; Cheese/*microbiology; Endopeptidase K; Food Contamination/analysis; Food Microbiology; Genome, Viral; Limit of Detection; Mengovirus/genetics/isolation & purification; Mice; Milk/*virology; Norovirus/genetics/*isolation & purification; RNA, Viral/analysis/isolation & purification; Real-Time Polymerase Chain Reaction; Virology/*methods  
  Abstract Noroviruses (NoV) are currently the most common cause of viral foodborne diseases and RT-qPCR is widely used for their detection in food because of its sensitivity, specificity and rapidity. The ISO/TS (15216-1, 15216-2) procedures for detecting NoV and HAV in high-risk food categories such as shellfish, bottled water and vegetables were published in 2013. Milk products are less implicated in foodborne viral outbreaks but they can be contaminated with fruit added to these products or by the food handler. Thus, the development of sensitive and reliable techniques for the detection of NoV in dairy products is needed to ensure the safety of these products. The aim of this study was to develop a RT-qPCR based method for the detection of NoV in milk products. Three methods were tested to recover NoV from artificially contaminated milk and cottage cheese. The selected method was based on the use of proteinase K and the recovery efficiencies ranged from 54.87% to 98.87% for NoV GI, 61.16%-96.50% for NoV GII. Murine norovirus and mengovirus were used as process controls and their recovery efficiencies were respectively 60.59% and 79.23%. The described method could be applied for detecting NoV in milk products for routine diagnosis needs.  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0740-0020 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:27697160 Approved no  
  Call Number NCSU @ edshirle @ Serial 3395  
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