Practical Experiences with an Extended Screening Strategy for Genetically Modified Organisms (GMOs) in Real-Life Samples

I.M.J. Scholtens-Toma, E. Laurensse, B. Molenaar, S. Zaaijer, H.M.S. Gaballo, P.A. Boleij, A. Bak, E.J. Kok

    Research output: Contribution to journalArticleAcademicpeer-review

    31 Citations (Scopus)

    Abstract

    Nowadays most animal feed products imported into Europe have a GMO (genetically modified organism) label. This means that they contain European Union (EU)-authorized GMOs. For enforcement of these labeling requirements, it is necessary, with the rising number of EU-authorized GMOs, to perform an increasing number of analyses. In addition to this, it is necessary to test products for the potential presence of EU-unauthorized GMOs. Analysis for EU-authorized and -unauthorized GMOs in animal feed has thus become laborious and expensive. Initial screening steps may reduce the number of GMO identification methods that need to be applied, but with the increasing diversity also screening with GMO elements has become more complex. For the present study, the application of an informative detailed 24-element screening and subsequent identification strategy was applied in 50 animal feed samples. Almost all feed samples were labeled as containing GMO-derived materials. The main goal of the study was therefore to investigate if a detailed screening strategy would reduce the number of subsequent identification analyses. An additional goal was to test the samples in this way for the potential presence of EU-unauthorized GMOs. Finally, to test the robustness of the approach, eight of the samples were tested in a concise interlaboratory study. No significant differences were found between the results of the two laboratories.
    Original languageEnglish
    Pages (from-to)9097-9109
    Number of pages13
    JournalJournal of Agricultural and Food Chemistry
    Volume61
    Issue number38
    DOIs
    Publication statusPublished - 2013

    Keywords

    • modified maize
    • reference molecules
    • quantitation
    • validation

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