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Kernel Lot Distribution Assessment (KeLDA): a Comparative Study of Protein and DNA-Based Detection Methods for GMO Testing |
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| Authors: | Marco Mazzara Claudia Paoletti Philippe Corbisier Emanuele Grazioli Sara Larcher Gilbert Berben Marc De Loose Imma Folch Christine Henry Norbert Hess Lotte Hougs Eric Janssen Gillian Moran Roberta Onori Guy Van den Eede |
| Affiliation: | 1. European Commission, Joint Research Centre, Institute for Health and Consumer Protection, Via E. Fermi 2749, 21027, Ispra, Varese, Italy 2. European Food Safety Authority (EFSA), Via Carlo Magno 1A, 43126, Parma, Italy 3. Reference Material Unit, European Commission, Joint Research Centre–Institute for Reference Materials and Measurements (IRMM), Retieseweg 111, 2440, Geel, Belgium 4. Département Qualité des Productions Agricoles, Centre wallon de Recherches Agronomiques, Chaussée de Namur 24, 5030, Gembloux, Belgium 5. Institute for Agricultural and Fisheries Research (ILVO), T&V, Merelbeke, Belgium 6. Department of Molecular Genetics, University Ghent, Ghent, Belgium 7. Laboratori Agroalimentari, DAR de la Genetalitat de Catalunya, Ctra. de Cabrils, s/n., 08348, Cabrils, Barcelona, Spain 8. The Food and Environment Research Agency (FERA), Sand Hutton, York, YO41 1LZ, UK 9. Institut für Hygiene und Umwelt, Haus 6, Raum 29, Marckmannstr. 129b, D20539, Hamburg, Germany 10. Laboratory for Diagnostics in Plants, Seed, and Feed, Danish Plant Directorate, Skovbrynet 20, 2800, Lyngby, Denmark 11. SASA, Roddinglaw Road, Edinburgh, EH12 9FJ, Scotland, UK 12. GMOs and Mycotoxins Unit, Department of Veterinary Public Health and Food Safety, National Institute of Health, Viale Regina Elena, 299, 00161, Rome, Italy |
| Abstract: | Monitoring of market products for detection of genetically modified organisms (GMO) is needed to comply with legislation in force in many regions of the world, to enforce traceability and to allow official control along the production and the distribution chains. This objective can be more easily achieved if reliable, time and cost-effective analytical methods are available. A GMO can be detected using either DNA-based or protein-based methods; both present advantages and disadvantages. The objective of this work was to assess the performance of a protein-based (lateral flow strips—LFT) and of a DNA-based (polymerase chain reaction—PCR) detection method for GMO analysis. One thousand five hundred samples of soybean, deriving from the sampling of 15 independent bulk lots in large shipments, were analysed to assess and compare the performance of the analytical methods and evaluate their suitability for GMO testing. Several indicators were used to compare the performance of the methods, including the percentage correlation between the PCR and LFT results. The GMO content of the samples ranged from 0 up to 100 %, allowing a full assessment of both analytical approaches with respect to all possible GMO content scenarios. The study revealed a very similar performance of the two methodologies, with low false-negative and false-positive results, and a very satisfactory capacity of both methods in detecting low amounts of target. While determining the fitness for purpose of both analytical approaches, this study also underlines the importance of alternative method characteristics, like costs and time. |
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