Modelling norovirus dynamics within oysters emphasises potential food safety issues associated with current testing & depuration protocols

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McMenemy, Paul and Kleczkowski, Adam and Taylor, Nick G.H. (2023) Modelling norovirus dynamics within oysters emphasises potential food safety issues associated with current testing & depuration protocols. Food Microbiology, 116. 104363. ISSN 1095-9998 (https://doi.org/10.1016/j.fm.2023.104363)

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Abstract

Norovirus is a significant global cause of viral gastroenteritis, with raw oyster consumption often linked to such outbreaks due to their filter-feeding in harvest waters. National water quality and depuration/relaying times are often classified using Escherichia coli, a poor proxy for norovirus levels in shellfish. The current norovirus assay is limited to only the digestive tracts of oysters, meaning the total norovirus load of an oyster may differ from reported results. These limitations motivated this work, building upon previous modelling by the authors, and considers the sequestration of norovirus into observed and cryptic (unobservable) compartments within each oyster. Results show that total norovirus levels in shellfish batches exhibit distinct peaks during the early depuration stages, with each peak's magnitude dependent on the proportion of cryptic norovirus. These results are supported by depuration trial data and other studies, where viral levels often exhibit multiphase decays. This work's significant result is that any future norovirus legislation needs to consider not only the harvest site's water classification but also the total viral load present in oysters entering the market. We show that 62 h of depuration should be undertaken before any norovirus testing is conducted on oyster samples, being the time required for cryptic viral loads to have transited into the digestive tracts where they can be detected by current assay, or have exited the oyster.

ORCID iDs

McMenemy, Paul, Kleczkowski, Adam ORCID logoORCID: https://orcid.org/0000-0003-1384-4352 and Taylor, Nick G.H.;
  • Item type:Article
    ID code:86639
    Dates:
    Date
    Event
    31 December 2023
    Published
    18 August 2023
    Published Online
    8 August 2023
    Accepted
    Subjects:Science > Microbiology
    Department:Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:31 Aug 2023 14:49
    Last modified:18 Dec 2024 18:10
    URI:https://strathprints.strath.ac.uk/id/eprint/86639
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