<?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%">G.E. Mbongolo-Mbella</style></author><author><style face="normal" font="default" size="100%">A. Lievens</style></author><author><style face="normal" font="default" size="100%">E. Barbau-Piednoir</style></author><author><style face="normal" font="default" size="100%">Myriam Sneyers</style></author><author><style face="normal" font="default" size="100%">Amaya Leunda</style></author><author><style face="normal" font="default" size="100%">Nancy Roosens</style></author><author><style face="normal" font="default" size="100%">Marc Van den Bulcke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">SYBR®Green qPCR methods for detection of endogenous reference genes in commodity crops: a step ahead in combinatory screening of Genetically Modified Crops in food and feed products</style></title><secondary-title><style face="normal" font="default" size="100%">Eur.Food Res.Technol.</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">an</style></keyword><keyword><style  face="normal" font="default" size="100%">approach</style></keyword><keyword><style  face="normal" font="default" size="100%">approaches</style></keyword><keyword><style  face="normal" font="default" size="100%">at</style></keyword><keyword><style  face="normal" font="default" size="100%">Biomedical and Life Sciences</style></keyword><keyword><style  face="normal" font="default" size="100%">criteria</style></keyword><keyword><style  face="normal" font="default" size="100%">crops</style></keyword><keyword><style  face="normal" font="default" size="100%">detection</style></keyword><keyword><style  face="normal" font="default" size="100%">Development</style></keyword><keyword><style  face="normal" font="default" size="100%">Efficiency</style></keyword><keyword><style  face="normal" font="default" size="100%">EU</style></keyword><keyword><style  face="normal" font="default" size="100%">European</style></keyword><keyword><style  face="normal" font="default" size="100%">European Union</style></keyword><keyword><style  face="normal" font="default" size="100%">feed</style></keyword><keyword><style  face="normal" font="default" size="100%">food</style></keyword><keyword><style  face="normal" font="default" size="100%">gene</style></keyword><keyword><style  face="normal" font="default" size="100%">Genes</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetically modified</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetically modified crop</style></keyword><keyword><style  face="normal" font="default" size="100%">genetically modified crops</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetically modified organism</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetically modified organisms</style></keyword><keyword><style  face="normal" font="default" size="100%">GMO</style></keyword><keyword><style  face="normal" font="default" size="100%">IS</style></keyword><keyword><style  face="normal" font="default" size="100%">Laboratories</style></keyword><keyword><style  face="normal" font="default" size="100%">maize</style></keyword><keyword><style  face="normal" font="default" size="100%">method</style></keyword><keyword><style  face="normal" font="default" size="100%">methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Network</style></keyword><keyword><style  face="normal" font="default" size="100%">Oilseed rape</style></keyword><keyword><style  face="normal" font="default" size="100%">Order</style></keyword><keyword><style  face="normal" font="default" size="100%">PCR</style></keyword><keyword><style  face="normal" font="default" size="100%">performance</style></keyword><keyword><style  face="normal" font="default" size="100%">polymerase chain reaction</style></keyword><keyword><style  face="normal" font="default" size="100%">PRODUCTS</style></keyword><keyword><style  face="normal" font="default" size="100%">qPCR</style></keyword><keyword><style  face="normal" font="default" size="100%">SCREENING</style></keyword><keyword><style  face="normal" font="default" size="100%">Soybean</style></keyword><keyword><style  face="normal" font="default" size="100%">Strategies</style></keyword><keyword><style  face="normal" font="default" size="100%">Strategy</style></keyword><keyword><style  face="normal" font="default" size="100%">sugar</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1/3/2011</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">496</style></number><volume><style face="normal" font="default" size="100%">232</style></volume><pages><style face="normal" font="default" size="100%">485 - 496</style></pages><isbn><style face="normal" font="default" size="100%">14382377</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Identification of crops present in food and/or feed matrices represents an important step in the screening strategies targeting genetically modified organisms (GMO). Soybean, maize, oilseed rape, rice, cotton, sugar beet and potato are to date the most important sources of genetically modified materials imported in the European Union (EU). In order to allow detection of their presence in an integrated screening approach, a set of SYBR-«Green real-time polymerase chain reaction (qPCR) methods has been developed which can be used under the same assay conditions and at similar efficiency for each of the abovementioned crops. Each qPCR method is shown to meet the performance criteria (i.e. specificity, limit of detection and PCR efficiency) set by the European Network of GMO Laboratories (ENGL). When combined with the equivalent qPCR methods targeting GMO elements, these crop-specific SYBR-«Green qPCR methods can aid the development of an efficient tool for determining GMO presence in food and/or feed products</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><custom1><style face="normal" font="default" size="100%">345</style></custom1><section><style face="normal" font="default" size="100%">485</style></section></record></records></xml>