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European Union Reference Laboratory for Genetically Modified Food and Feed (EURL GMFF)

Our publications

Below is provided a selection of articles published by colleagues of the EURL GMFF organised by year and by alphabetical order of the authors.

2021

Broothaerts, W. et al. New Genomic Techniques: State-of-the-Art Review. JRC121847 (2021).
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2020

Broothaerts, W. et al. Log transformation of proficiency testing data on the content of genetically modified organisms in food and feed samples: is it justified? Anal. Bioanal. Chem. 412, 1129–1136 (2020).
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Broothaerts, W. et al. Response to Letter to the Editor regarding: Log transformation of proficiency testing data on the content of genetically modified organisms in food and feed samples: is it justified? Anal. Bioanal. Chem. 412, 3949–3950 (2020).
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Broothaerts, W. et al. Ten years of proficiency testing reveals an improvement in the analytical performance of EU National Reference Laboratories for genetically modified food and feed. Food Control 114, 107237 (2020).
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Huggett, J. et al. The Digital MIQE Guidelines Update: Minimum Information for Publication of Quantitative Digital PCR Experiments for 2020. Clin. Chem. 66, 1012-1029 (2020).
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Querci, M. et al. The analysis of food samples for the presence of Genetically Modified Organisms - User Manual. JRC120237 (2020).
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Trapmann, S. et al. Guidance Document on Measurement Uncertainty for GMO Testing Laboratories. 3rd edition. JRC120898 (2020).
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2019-2018

Corbisier, P. et al. Towards metrologically traceable and comparable results in GM quantification Anal. Bioanal. Chem. 411, 7-11 (2019).
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Emons, H. Chapter 11. Harmonising DNA Methods – The GMO Story. In DNA Techniques to Verify Food Authenticity: Applications in Food Fraud 139–146 (2019).
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Jacchia, S. et al. Identification of single target taxon-specific reference assays for the most commonly genetically transformed crops using digital droplet PCR. Food Control 93, 191–200 (2018).
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Whale, A. et al. Assessment of Digital PCR as a Primary Reference Measurement Procedure to Support Advances in Precision Medicine. Clin. Chem. 64, 1296-1307 (2018).
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2017-2008

Angers-Loustau, A. et al. JRC GMO-Matrix: a web application to support Genetically Modified Organisms detection strategies. BMC Bioinformatics 15, 417 (2014).
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Bonfini, L. et al. Chapter 24. The European Union Reference Methods Database and Decision Supporting Tool for the Analysis of Genetically Modified Organisms. In Genetically Modified Organisms in Food 275–288 (Elsevier, 2016).
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Bonfini, L. et al. GMOMETHODS: The European Union Database of Reference Methods for GMO Analysis. J. AOAC Int. 95, 1713–1719 (2012).
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Broothaerts, W. et al. A Single Nucleotide Polymorphism (SNP839) in the adh1 Reference Gene Affects the Quantitation of Genetically Modified Maize (Zea mays L.). J. Agric. Food Chem. 56, 8825–8831 (2008).
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Corbisier, P. et al. DNA copy number concentration measured by digital and droplet digital quantitative PCR using certified reference materials. Anal. Bioanal. Chem. 407, 1831-1840 (2015).
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Deprez, L. et al. Validation of a digital PCR method for quantification of DNA copy number concentrations by using a certified reference material. Biomol. Detection Quantification 9, 29-39 (2016).
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Petrillo, M. et al. JRC GMO-Amplicons: a collection of nucleic acid sequences related to genetically modified organisms. Database 2015, bav101 (2015).
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Rosa, S. F. et al. Development and applicability of a ready-to-use PCR system for GMO screening. Food Chem. 201, 110–119 (2016).
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