<?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%">Marc Van den Bulcke</style></author><author><style face="normal" font="default" size="100%">Lievens, Antoon</style></author><author><style face="normal" font="default" size="100%">Barbau-Piednoir, Elodie</style></author><author><style face="normal" font="default" size="100%">Guillaume Mbongolo Mbella</style></author><author><style face="normal" font="default" size="100%">Nancy Roosens</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></authors></contributors><titles><title><style face="normal" font="default" size="100%">A theoretical introduction to &quot;combinatory SYBRGreen qPCR screening&quot;, a matrix-based approach for the detection of materials derived from genetically modified plants.</style></title><secondary-title><style face="normal" font="default" size="100%">Anal Bioanal Chem</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Anal Bioanal Chem</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">Animal Feed</style></keyword><keyword><style  face="normal" font="default" size="100%">Fluorescent Dyes</style></keyword><keyword><style  face="normal" font="default" size="100%">Food Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Food, Genetically Modified</style></keyword><keyword><style  face="normal" font="default" size="100%">Models, Theoretical</style></keyword><keyword><style  face="normal" font="default" size="100%">Organic Chemicals</style></keyword><keyword><style  face="normal" font="default" size="100%">Plants, Genetically Modified</style></keyword><keyword><style  face="normal" font="default" size="100%">polymerase chain reaction</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2010 Mar</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">396</style></volume><pages><style face="normal" font="default" size="100%">2113-23</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The detection of genetically modified (GM) materials in food and feed products is a complex multi-step analytical process invoking screening, identification, and often quantification of the genetically modified organisms (GMO) present in a sample. &quot;Combinatory qPCR SYBRGreen screening&quot; (CoSYPS) is a matrix-based approach for determining the presence of GM plant materials in products. The CoSYPS decision-support system (DSS) interprets the analytical results of SYBRGREEN qPCR analysis based on four values: the C(t)- and T(m) values and the LOD and LOQ for each method. A theoretical explanation of the different concepts applied in CoSYPS analysis is given (GMO Universe, &quot;Prime number tracing&quot;, matrix/combinatory approach) and documented using the RoundUp Ready soy GTS40-3-2 as an example. By applying a limited set of SYBRGREEN qPCR methods and through application of a newly developed &quot;prime number&quot;-based algorithm, the nature of subsets of corresponding GMO in a sample can be determined. Together, these analyses provide guidance for semi-quantitative estimation of GMO presence in a food and feed product.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/19960341?dopt=Abstract</style></custom1></record></records></xml>