%0 Journal Article %J Anal Bioanal Chem %D 2010 %T A theoretical introduction to "combinatory SYBRGreen qPCR screening", a matrix-based approach for the detection of materials derived from genetically modified plants. %A Marc Van den Bulcke %A Lievens, Antoon %A Barbau-Piednoir, Elodie %A Guillaume Mbongolo Mbella %A Nancy Roosens %A Myriam Sneyers %A Amaya Leunda %K Algorithms %K Animal Feed %K Fluorescent Dyes %K Food Analysis %K Food, Genetically Modified %K Models, Theoretical %K Organic Chemicals %K Plants, Genetically Modified %K polymerase chain reaction %X

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. "Combinatory qPCR SYBRGreen screening" (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, "Prime number tracing", 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 "prime number"-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.

%B Anal Bioanal Chem %V 396 %P 2113-23 %8 2010 Mar %G eng %N 6 %1 http://www.ncbi.nlm.nih.gov/pubmed/19960341?dopt=Abstract %R 10.1007/s00216-009-3286-7