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A theoretical introduction to "combinatory SYBRGreen qPCR screening", a matrix-based approach for the detection of materials derived from genetically modified plants. [1]

Peer reviewed scientific article

SCIENSANO

Auteurs

Marc Van den Bulcke [2]; Lievens, Antoon [3]; Barbau-Piednoir, Elodie [4]; Guillaume Mbongolo Mbella [5]; Nancy Roosens [6]; Myriam Sneyers [7]; Amaya Leunda [8]

Mots-clés

  1. Algorithms [9]
  2. Animal Feed [10]
  3. Fluorescent Dyes [11]
  4. Food Analysis [12]
  5. Food, Genetically Modified [13]
  6. Models, Theoretical [14]
  7. Organic Chemicals [15]
  8. Plants, Genetically Modified [16]
  9. polymerase chain reaction [17]

Résumé:

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 explanati…
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Résumé

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.

Associated health topics:


Source URL:https://sciensano.be/fr/biblio/a-theoretical-introduction-combinatory-sybrgreen-qpcr-screening-a-matrix-based-approach-detection

Liens
[1] https://sciensano.be/fr/biblio/a-theoretical-introduction-combinatory-sybrgreen-qpcr-screening-a-matrix-based-approach-detection [2] https://sciensano.be/fr/people/marc-van-den-bulcke/biblio [3] https://sciensano.be/fr/biblio?f%5Bauthor%5D=36003&f%5Bsearch%5D=Lievens%2C%20Antoon [4] https://sciensano.be/fr/biblio?f%5Bauthor%5D=36000&f%5Bsearch%5D=Barbau-Piednoir%2C%20Elodie [5] https://sciensano.be/fr/biblio?f%5Bauthor%5D=46170&f%5Bsearch%5D=Guillaume%20Mbongolo%20Mbella [6] https://sciensano.be/fr/people/nancy-roosens/biblio [7] https://sciensano.be/fr/people/myriam-sneyers/biblio [8] https://sciensano.be/fr/people/amaya-leunda-casi/biblio [9] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=18810&f%5Bsearch%5D=Algorithms [10] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=22095&f%5Bsearch%5D=Animal%20Feed [11] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=18870&f%5Bsearch%5D=Fluorescent%20Dyes [12] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=22911&f%5Bsearch%5D=Food%20Analysis [13] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=32136&f%5Bsearch%5D=Food%2C%20Genetically%20Modified [14] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=27789&f%5Bsearch%5D=Models%2C%20Theoretical [15] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=22242&f%5Bsearch%5D=Organic%20Chemicals [16] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=32139&f%5Bsearch%5D=Plants%2C%20Genetically%20Modified [17] https://sciensano.be/fr/biblio?f%5Bkeyword%5D=2772&f%5Bsearch%5D=polymerase%20chain%20reaction