IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v22y2002i2p219-234.html
   My bibliography  Save this article

Quantitative Assessment of Exposure to the Mycotoxin Ochratoxin A in Food

Author

Listed:
  • Jean‐Pierre Gauchi
  • Jean‐Charles Leblanc

Abstract

This article presents the methodology and the simulation results concerning the quantitative assessment of exposure to the fungus toxin named Ochratoxin A (OA) in food, in humans in France. We show that is possible to provide reliable calculations of exposure to OA with the conjugate means of a nonparametric‐type method of simulation, a parametric‐type method of simulation, and the use of bootstrap confidence intervals. In the context of the Monte Carlo simulation, the nonparametric method takes into account the consumptions and the contaminations in the simulations only via the raw data whereas the parametric method depends on the random samplings from distribution functions fitted to consumption and contamination data. Our conclusions are based on eight types of food only. Nevertheless, they are meaningful due to the major importance of these foodstuffs in human nourishment in France. This methodology can be applied whatever the food contaminant (pesticides, other mycotoxins, Cadmium, etc.) when data are available.

Suggested Citation

  • Jean‐Pierre Gauchi & Jean‐Charles Leblanc, 2002. "Quantitative Assessment of Exposure to the Mycotoxin Ochratoxin A in Food," Risk Analysis, John Wiley & Sons, vol. 22(2), pages 219-234, April.
  • Handle: RePEc:wly:riskan:v:22:y:2002:i:2:p:219-234
    DOI: 10.1111/0272-4332.00021
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/0272-4332.00021
    Download Restriction: no

    File URL: https://libkey.io/10.1111/0272-4332.00021?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. Caers, Jef & Beirlant, Jan & Vynckier, Petra, 1998. "Bootstrap confidence intervals for tail indices," Computational Statistics & Data Analysis, Elsevier, vol. 26(3), pages 259-277, January.
    2. Beirlant, Jan & Devroye, Luc, 1999. "On the impossibility of estimating densities in the extreme tail," Statistics & Probability Letters, Elsevier, vol. 43(1), pages 57-64, May.
    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. Carlos Cardoso & Narcisa Bandarra & Helena Lourenço & Cláudia Afonso & Maria Nunes, 2010. "Methylmercury Risks and EPA + DHA Benefits Associated with Seafood Consumption in Europe," Risk Analysis, John Wiley & Sons, vol. 30(5), pages 827-840, May.
    2. Patrice Bertail & Jessica Tressou, 2004. "Incomplete Generalized U-Statistics for Food Risk Assessment," Working Papers 2004-48, Center for Research in Economics and Statistics.
    3. Carlos Cardoso & Inês Farias & Valentina Costa & Maria Nunes & Leonel Gordo, 2010. "Estimation of Risk Assessment of Some Heavy Metals Intake Through Black Scabbardfish (Aphanopus carbo) Consumption in Portugal," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 952-961, 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. Caers, Jef & Dyck, Jozef Van, 1998. "Nonparametric tail estimation using a double bootstrap method," Computational Statistics & Data Analysis, Elsevier, vol. 29(2), pages 191-211, December.
    2. EL-NOUTY Charles & GUILLOU Armelle, 2000. "On The Bootstrap Accuracy Of The Pareto Index," Statistics & Risk Modeling, De Gruyter, vol. 18(3), pages 275-290, March.
    3. Upper, Christian & Werner, Thomas, 2002. "Time Variation in the Tail Behaviour of Bund Futures Returns," Discussion Paper Series 1: Economic Studies 2002,25, Deutsche Bundesbank.
    4. Schmid, Friedrich & Schmidt, Axel, 2006. "Nonparametric estimation of the coefficient of overlapping--theory and empirical application," Computational Statistics & Data Analysis, Elsevier, vol. 50(6), pages 1583-1596, March.
    5. El-Aroui, Mhamed-Ali & Diebolt, Jean, 2002. "On the use of the peaks over thresholds method for estimating out-of-sample quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 39(4), pages 453-475, June.
    6. Thomas Werner & Christian Upper, 2004. "Time variation in the tail behavior of Bund future returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(4), pages 387-398, April.

    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:22:y:2002:i:2:p:219-234. 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.