Literature DB >> 27960104

Digital RT-PCR method for hepatitis A virus and norovirus quantification in soft berries.

Audrey Fraisse1, Coralie Coudray-Meunier1, Sandra Martin-Latil1, Catherine Hennechart-Collette1, Sabine Delannoy1, Patrick Fach1, Sylvie Perelle2.   

Abstract

Raw fruits may harbour many pathogens of public health concern including enteric viruses, which are the leading cause of foodborne outbreaks. Recently, consumption of soft berries has been associated with increasing reports of norovirus and hepatitis A virus outbreaks in Europe. Due to their low infectious doses and low concentrations in food samples, an efficient and sensitive analytical method is required for virus detection. In this study we explored two different ways to improve the reference method for the detection of enteric viruses in soft fruits (ISO/TS 15216-1; 15216-2): an additional purification step after RNA extraction; and the detection of enteric viral genome by an absolute quantification method (microfluidic digital RT-PCR). Both of these approaches led to an improvement of enteric virus detection in soft berries by greatly lowering PCR inhibition, raising viral extraction efficiencies and enabling validation of controls using pure RNA extracts. The PCR inhibitor removal step can be easily included in the routine method. Absolute quantification by digital RT-PCR may be a relevant alternative method to standardize quantification of enteric viruses in foodstuffs.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Digital RT-PCR; Hepatitis A virus; Norovirus; PCR inhibition; RT-qPCR; Soft berries

Mesh:

Substances:

Year:  2016        PMID: 27960104     DOI: 10.1016/j.ijfoodmicro.2016.11.022

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


  8 in total

1.  Integration of RT-LAMP and Microfluidic Technology for Detection of SARS-CoV-2 in Wastewater as an Advanced Point-of-Care Platform.

Authors:  Ahmed Donia; Muhammad Furqan Shahid; Sammer-Ul Hassan; Ramla Shahid; Aftab Ahmad; Aneela Javed; Muhammad Nawaz; Tahir Yaqub; Habib Bokhari
Journal:  Food Environ Virol       Date:  2022-05-04       Impact factor: 4.034

2.  Rapid Detection of Human Norovirus in Frozen Raspberries.

Authors:  Maija Summa; Leena Maunula
Journal:  Food Environ Virol       Date:  2017-10-10       Impact factor: 2.778

3.  A Rapid and Sensitive Europium Nanoparticle-Based Lateral Flow Immunoassay Combined with Recombinase Polymerase Amplification for Simultaneous Detection of Three Food-Borne Pathogens.

Authors:  Kai Chen; Biao Ma; Jiali Li; Erjing Chen; Ying Xu; Xiaoping Yu; Chuanxin Sun; Mingzhou Zhang
Journal:  Int J Environ Res Public Health       Date:  2021-04-26       Impact factor: 3.390

4.  Norovirus Extraction from Frozen Raspberries Using Magnetic Silica Beads.

Authors:  Philippe Raymond; Sylvianne Paul; André Perron; Louise Deschênes
Journal:  Food Environ Virol       Date:  2021-03-02       Impact factor: 2.778

5.  Foodborne Norovirus State of Affairs in the EU Rapid Alert System for Food and Feed.

Authors:  Elias P Papapanagiotou
Journal:  Vet Sci       Date:  2017-11-25

6.  Evaluation of Molecular Methods for the Detection and Quantification of Pathogen-Derived Nucleic Acids in Sediment.

Authors:  Kata Farkas; Francis Hassard; James E McDonald; Shelagh K Malham; Davey L Jones
Journal:  Front Microbiol       Date:  2017-01-24       Impact factor: 5.640

7.  Detection and Sequencing of Multiple Human Norovirus Genotypes from Imported Frozen Raspberries Linked to Outbreaks in the Province of Quebec, Canada, in 2017.

Authors:  Philippe Raymond; Sylvianne Paul; André Perron; Christian Bellehumeur; Émilie Larocque; Hugues Charest
Journal:  Food Environ Virol       Date:  2022-01-23       Impact factor: 2.778

Review 8.  Microfluidic devices for detection of RNA viruses.

Authors:  Arefeh Basiri; Arash Heidari; Melina Farshbaf Nadi; Mohammad Taha Pahlevan Fallahy; Sasan Salehi Nezamabadi; Mohammadreza Sedighi; Amene Saghazadeh; Nima Rezaei
Journal:  Rev Med Virol       Date:  2020-08-26       Impact factor: 11.043

  8 in total

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