Evidence map›Paper›PMID 19960341›Full record

ArticleAnalytical and bioanalytical chemistry2010

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

Marc Van den Bulcke, Antoon Lievens, Elodie Barbau-Piednoir, Guillaume MbongoloMbella, Nancy Roosens, Myriam Sneyers, Amaya Leunda Casi

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Article in Analytical and bioanalytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marc Van den BulckeDivision of Biosafety and Biotechnology, Scientific Institute of Public Health, J. Wytsmanstreet 14, 1050 Brussels, Belgium. gmolab@sbb.ihe.be
Antoon Lievens
Elodie Barbau-Piednoir
Guillaume MbongoloMbella
Nancy Roosens
Myriam Sneyers
Amaya Leunda Casi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Food AnalysisPolymerase Chain ReactionAlgorithmsAnimal FeedBenzothiazolesDiaminesFluorescent DyesFood, Genetically ModifiedModels, TheoreticalOrganic ChemicalsPlants, Genetically ModifiedQuinolinesBenzothiazolesDiaminesFluorescent DyesOrganic ChemicalsQuinolinesSYBR Green I

Identifiers

PMID19960341
PMCPMC2836468

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.