IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v26y2006i1p105-114.html
   My bibliography  Save this article

Risk Assessment of Listeria monocytogenes: Impact of Individual Cell Variability on the Exposure Assessment Step

Author

Listed:
  • K. Francois
  • F. Devlieghere
  • M. Uyttendaele
  • J. Debevere

Abstract

Recently, the lag phase research in predictive microbiology is focusing more on the individual cell variability, especially for pathogenic microorganisms that typically occur in very low contamination levels, like Listeria monocytogenes. In this study, the effect of this individual cell lag phase variability was introduced in an exposure assessment study for L. monocytogenes in a liver pâté. A basic framework was designed to estimate the contamination level of pâté at the time of consumption, taking into account the frequency of contamination and the initial contamination levels of pâté at retail. Growth was calculated on pâté units of 150 g, comparing an individual‐based approach with a classical population‐based approach. The two different protocols were compared using simulations. If only the individual cell lag variability was taken into account, important differences were observed in cell density at the time of consumption between the individual‐based approach and the classical approach, especially at low inoculum levels, resulting in high variability when using the individual‐based approach. Although, when all variable factors were taken into account, no significant differences were observed between the different approaches, allowing the conclusion that the individual cell lag phase variability was overruled by the global variability of the exposure assessment framework. Even in more extreme conditions like a low inoculum level or a low water activity, no differences were created in cell density at the time of consumption between the individual‐based approach and the classical approach. This means that the individual cell lag phase variability of L. monocytogenes has important consequences when studying specific growth cases, especially when the applied inoculum levels are low, but when performing more general exposure assessment studies, the variability between the individual cell lag phases is too limited to have a major impact on the total exposure assessment.

Suggested Citation

  • K. Francois & F. Devlieghere & M. Uyttendaele & J. Debevere, 2006. "Risk Assessment of Listeria monocytogenes: Impact of Individual Cell Variability on the Exposure Assessment Step," Risk Analysis, John Wiley & Sons, vol. 26(1), pages 105-114, February.
  • Handle: RePEc:wly:riskan:v:26:y:2006:i:1:p:105-114
    DOI: 10.1111/j.1539-6924.2006.00716.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.2006.00716.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1539-6924.2006.00716.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michèle Vialette & Anthony Pinon & Benoît Leporq & Catherine Dervin & Jeanne‐Marie Membré, 2005. "Meta‐Analysis of Food Safety Information Based on a Combination of a Relational Database and a Predictive Modeling Tool," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 75-83, February.
    2. Thomas Ross & Thomas Alexander McMeekin, 2003. "Modeling Microbial Growth Within Food Safety Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 23(1), pages 179-197, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fanny Tenenhaus‐Aziza & Jean‐Jacques Daudin & Alexandre Maffre & Moez Sanaa, 2014. "Risk‐Based Approach for Microbiological Food Safety Management in the Dairy Industry: The Case of Listeria monocytogenes in Soft Cheese Made from Pasteurized Milk," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 56-74, January.
    2. Mariem Ellouze & Jean‐Pierre Gauchi & Jean‐Christophe Augustin, 2010. "Global Sensitivity Analysis Applied to a Contamination Assessment Model of Listeria monocytogenes in Cold Smoked Salmon at Consumption," Risk Analysis, John Wiley & Sons, vol. 30(5), pages 841-852, May.
    3. Hajo Rijgersberg & Seth Tromp & Liesbeth Jacxsens & Mieke Uyttendaele, 2010. "Modeling Logistic Performance in Quantitative Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 30(1), pages 20-31, January.
    4. Régis Pouillot & Véronique Goulet & Marie Laure Delignette‐Muller & Aurélie Mahé & Marie Cornu, 2009. "Quantitative Risk Assessment of Listeria monocytogenes in French Cold‐Smoked Salmon: II. Risk Characterization," Risk Analysis, John Wiley & Sons, vol. 29(6), pages 806-819, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arnout R. H. Fischer & Aarieke E. I. De Jong & Rob De Jonge & Lynn J. Frewer & Maarten J. Nauta, 2005. "Improving Food Safety in the Domestic Environment: The Need for a Transdisciplinary Approach," Risk Analysis, John Wiley & Sons, vol. 25(3), pages 503-517, June.
    2. Dominic Mancini & Gregmar I. Galinato, 2008. "Was It Something I Ate? Implementation of the FDA Seafood HACCP Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(1), pages 28-41.
    3. Arnout R. Standaert & Kjell Francois & Frank Devlieghere & Johan Debevere & Jan F. Van Impe & Annemie H. Geeraerd, 2007. "Modeling Individual Cell Lag Time Distributions for Listeria monocytogenes," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 241-254, February.
    4. Hajo Rijgersberg & Seth Tromp & Liesbeth Jacxsens & Mieke Uyttendaele, 2010. "Modeling Logistic Performance in Quantitative Microbial Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 30(1), pages 20-31, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:26:y:2006:i:1:p:105-114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.