| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4362559 | Food Microbiology | 2017 | 7 Pages |
•We provide a rapid and sensitive method for detecting NoV in milk and cottage cheese.•The recovery efficiencies were of 54.87%–98.87% for NoV GI and 61.16%–96.50% for NoV GII.•We use the Murine Norovirus (MNV-1) and Mengovirus as a process control.•MNV-1 and mengovirus offers a reliable way to monitor the quality of the extraction procedures.•The limit of detection was in the range of 103 and 105 genome copies per sample respectively for NoVGII and NoVGI.
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.
