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.
journal_name
Food Microbioljournal_title
Food microbiologyauthors
Hennechart-Collette C,Martin-Latil S,Fraisse A,Perelle Sdoi
10.1016/j.fm.2016.09.001subject
Has Abstractpub_date
2017-02-01 00:00:00pages
113-119eissn
0740-0020issn
1095-9998pii
S0740-0020(16)30041-7journal_volume
61pub_type
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