Review

Analytical and Bioanalytical Chemistry

, Volume 396, Issue 6, pp 1991-2002

New approaches in GMO detection

  • Maddalena QuerciAffiliated withMolecular Biology and Genomics Unit, Institute for Health and Consumer Protection (IHCP), European Commission—Joint Research Centre (JRC) Email author 
  • , Marc Van den BulckeAffiliated withScientific Institute of Public Health (IPH)
  • , Jana ŽelAffiliated withDepartment of Biotechnology and Systems Biology, National Institute of Biology (NIB)
  • , Guy Van den EedeAffiliated withMolecular Biology and Genomics Unit, Institute for Health and Consumer Protection (IHCP), European Commission—Joint Research Centre (JRC)
  • , Hermann BrollAffiliated withFood Safety Department, Federal Institute for Risk Assessment (BfR)

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Abstract

The steady rate of development and diffusion of genetically modified plants and their increasing diversification of characteristics, genes and genetic control elements poses a challenge in analysis of genetically modified organisms (GMOs). It is expected that in the near future the picture will be even more complex. Traditional approaches, mostly based on the sequential detection of one target at a time, or on a limited multiplexing, allowing only a few targets to be analysed at once, no longer meet the testing requirements. Along with new analytical technologies, new approaches for the detection of GMOs authorized for commercial purposes in various countries have been developed that rely on (1) a smart and accurate strategy for target selection, (2) the use of high-throughput systems or platforms for the detection of multiple targets and (3) algorithms that allow the conversion of analytical results into an indication of the presence of individual GMOs potentially present in an unknown sample. This paper reviews the latest progress made in GMO analysis, taking examples from the most recently developed strategies and tools, and addresses some of the critical aspects related to these approaches.

Keywords

Genetically modified organism Genetically modified organism detection Detection strategies High-throughput systems Matrix approach Decision support systems