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Analytical and Bioanalytical Chemistry

, Volume 411, Issue 11, pp 2461–2469 | Cite as

Performance assessment of digital PCR for the quantification of GM-maize and GM-soya events

  • Geoffrey CottenetEmail author
  • Carine Blancpain
  • Poh Fong Chuah
Research Paper
  • 67 Downloads

Abstract

Accurate quantitative methods are needed to determine the amount of transgenic material in ingredients and comply with labelling GMO thresholds. Quantitative real-time PCR methods are usually applied for GMO quantification, but since a few years, digital PCR (dPCR) has been described as a potential alternative by quantifying DNA molecules directly without any standard curves. In this study, the performance of dPCR to quantify 9 GM-soya events and 15 GM-maize events was assessed. Following GMO validation guidelines, the trueness and precision were determined on high, medium and low levels of transgenic content. Results showed biases below ± 25% and satisfactory precision data. Limits of quantification were determined for each GM-event and were between 12 and 31 target copies. The reliability of GMO quantification by dPCR was further confirmed by analysing several proficiency test samples. Overall, dPCR showed accurate and precise GMO quantification on all the tested GM-events, from high to low transgenic amount. With its ease-of-use, dPCR was found to be an appealing alternative technology for routine GMO testing laboratories.

Graphical abstract

Keywords

GMO Transgenic Quantification Digital PCR 

Abbreviations

GMO

Genetically modified organisms

PCR

Polymerase chain reaction

dPCR

Digital PCR

CRM

Certified reference material

NTC

No template control

LOQ

Limit of quantification

Notes

Acknowledgements

The authors would like to thank Pia Scheu and Cyril Dubuck from Bio-Rad for their technical and scientific support during our study.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Geoffrey Cottenet
    • 1
    Email author
  • Carine Blancpain
    • 1
  • Poh Fong Chuah
    • 2
  1. 1.Institute of Food Safety & Analytical Sciences - Nestlé ResearchLausanne 26Switzerland
  2. 2.Nestlé Quality Assurance CenterSingaporeSingapore

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