Literature DB >> 31634688

Development of an extraction method to detect enteric viruses in dressed vegetables.

Catherine Hennechart-Collette1, Florian Niveau1, Sandra Martin-Latil1, Audrey Fraisse1, Sylvie Perelle2.   

Abstract

Food-borne viral infections are caused mainly by noroviruses (NoV) and the hepatitis A virus (HAV), which respectively cause gastroenteritis and hepatitis. Various foods have been implicated in viral outbreaks, including vegetables that are consumed in a variety of forms, often with salad dressing. NF EN ISO procedures (15216-1:2017) propose standard methods for quantifying NoV and HAV in high-risk food categories, such as vegetables, based on viral elution and PEG concentration methods, but these methods are not suitable for composite meals like salads dressed with oily, fatty or emulsified food ingredients. The development of sensitive and reliable techniques for the detection of viruses in these products is therefore needed to ensure the safety of these products. The aim of this study was to develop an RT-qPCR based method for the detection and quantification of NoV and HAV in various vegetables with different dressings. Three methods for recovering NoV and HAV from artificially contaminated dressed vegetables were evaluated. The selected method was based on the use of Trizol reagent and, according to the type of dressing, the limit of detection ranged from 104 to 106 genome copies/g for NoV and from 102 to 103 PFU/g for HAV. The described method can be applied for detecting NoV and HAV in food containing salad dressing for routine diagnosis needs.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Detection; Dressed vegetables; HAV; NoV

Year:  2019        PMID: 31634688     DOI: 10.1016/j.ijfoodmicro.2019.108349

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  1 in total

1.  Real-time, selective, and low-cost detection of trace level SARS-CoV-2 spike-protein for cold-chain food quarantine.

Authors:  Jian Zhang; Xin Fang; Yu Mao; Haochen Qi; Jayne Wu; Xiaoru Liu; Fangshuo You; Wenci Zhao; Ying Chen; Lei Zheng
Journal:  NPJ Sci Food       Date:  2021-06-01
  1 in total

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