<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marie-Alice Fraiture</style></author><author><style face="normal" font="default" size="100%">Philippe Herman</style></author><author><style face="normal" font="default" size="100%">Taverniers, Isabel</style></author><author><style face="normal" font="default" size="100%">De Loose, Marc</style></author><author><style face="normal" font="default" size="100%">Van Nieuwerburgh, Filip</style></author><author><style face="normal" font="default" size="100%">Deforce, Dieter</style></author><author><style face="normal" font="default" size="100%">Nancy Roosens</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Validation of a sensitive DNA walking strategy to characterise unauthorised GMOs using model food matrices mimicking common rice products</style></title><secondary-title><style face="normal" font="default" size="100%">Food Chemistry</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">detection</style></keyword><keyword><style  face="normal" font="default" size="100%">DNA walking</style></keyword><keyword><style  face="normal" font="default" size="100%">Rice food</style></keyword><keyword><style  face="normal" font="default" size="100%">SENSITIVITY</style></keyword><keyword><style  face="normal" font="default" size="100%">Transgene flanking region</style></keyword><keyword><style  face="normal" font="default" size="100%">Unauthorised GMO</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/10/2014</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">173</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;To identify unauthorised GMOs in food and feed matrices, an integrated approach has recently been developed targeting pCAMBIA family vectors, highly present in transgenic plants. Their presence is first assessed by qPCR screening and is subsequently confirmed by characterising the transgene flanking regions, using DNA walking. Here, the DNA walking performance has been thoroughly tested for the first time, regarding the targeted DNA quality and quantity. Several assays, on model food matrices mimicking common rice products, have allowed to determine the limit of detection as well as the potential effects of food mixture and processing. This detection system allows the identification of transgenic insertions as low as 10 HGEs and was not affected by the presence of untargeted DNA. Moreover, despite the clear impact of food processing on DNA quality, this method was able to cope with degraded DNA. Given its specificity, sensitivity, reliability, applicability and practicability, the proposed approach is a key detection tool, easily implementable in enforcement laboratories.&lt;/p&gt;
</style></abstract></record></records></xml>