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Radiation Protection Dosimetry Advance Access originally published online on October 6, 2007
Radiation Protection Dosimetry 2008 128(4):421-426; doi:10.1093/rpd/ncm433
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© The Author 2007. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Automated detection of irradiated food with the comet assay

F. Verbeek1,2, G. Koppen3, B. Schaeken1,4 and L. Verschaeve3,5,*

1 Department of Industrial Sciences and Technology, XIOS Hogeschool Limburg, University Campus, Building H, B-3590 Diepenbeek, Belgium
2 IMEC, Research and Development, Kapeldreef 75, B-3001 Leuven, Belgium
3 VITO, Expertise Centre of Environmental Toxicology, Boeretang 200, B-2400 Mol, Belgium
4 ZNA—Middelheim, Department of Radiotherapy, Lindendreef 1, B-2020 Antwerp, Belgium
5 Institute of Public Health, Department of Toxicology and Epidemiology, J. Wytsmanstraat 14, B-1050 Brussels, Belgium

* Corresponding author: lverschaeve{at}iph.fgov.be

Received May 15, 2007, amended August 3, 2007, accepted August 16, 2007

Food irradiation is the process of exposing food to ionising radiation in order to disinfect, sanitise, sterilise and preserve food or to provide insect disinfestation. Irradiated food should be adequately labelled according to international and national guidelines. In many countries, there are furthermore restrictions to the product-specific maximal dose that can be administered. Therefore, there is a need for methods that allow detection of irradiated food, as well as for methods that provide a reliable dose estimate. In recent years, the comet assay was proposed as a simple, rapid and inexpensive method to fulfil these goals, but further research is required to explore the full potential of this method. In this paper we describe the use of an automated image analysing system to measure DNA comets which allow the discrimination between irradiated and non-irradiated food as well as the set-up of standard dose–response curves, and hence a sufficiently accurate dose estimation.


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