TY - JOUR T1 - New approaches in GMO detection399 JF - Anal.Bioanal.Chem. Y1 - 2010 A1 - Querci,M. A1 - Marc Van den Bulcke A1 - Jana Zel A1 - Van den Eede,G. A1 - Broll,H. KW - a KW - Algorithms KW - an KW - analysi KW - analysis KW - approach KW - approaches KW - aspects KW - at KW - Biology KW - challenge KW - consumer KW - Control KW - Countries KW - decision support systems KW - detection KW - detection strategies KW - Development KW - Diffusion KW - European KW - future KW - gene KW - Genes KW - Genetic KW - genetically KW - Genetically modified KW - Genetically modified organism KW - Genetically modified organisms KW - genetically modified plant KW - Genetically modified plants KW - genomic KW - Genomics KW - GMO KW - GMO detection KW - GMOs KW - health KW - high-throughput systems KW - Institute KW - IS KW - IT KW - ITALY KW - M KW - Matrix approach KW - Molecular KW - Molecular biology KW - Multiple KW - ON KW - Paper KW - plant KW - Plants KW - present KW - protection KW - Requirements KW - Research KW - result KW - results KW - REVIEW KW - Sample KW - Selection KW - Strategies KW - Strategy KW - System KW - Systems KW - Target KW - Targets KW - technology KW - TESTING KW - time KW - use AB - 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. VL - 396 SN - online ISSN 1618-2650 - print ISSN 1618-2642 CP - 6 U1 - 399 M3 - 10.1007/s00216-009-3237-3 ER -