Crossmark

Enhancing low-level genome-edited crop detection and identification in food mixtures using nanopore adaptive sampling: Rice-Soybean mixture as proof-of-concept

Crossref DOI link: https://doi.org/10.1038/s41538-026-00846-z

Published Online: 2026-05-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Stuyts, Arno

Zolfaghari, Amin

D’aes, Jolien

Vanneste, Kevin

Meunier, Anne-Cécile

Soriano, Alexandre

De Keersmaecker, Sigrid C. J.

Deforce, Dieter

Roosens, Nancy H. C.

Fraiture, Marie-Alice
Funding

Funding for this research was provided by:

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

HORIZON EUROPE European Research Council (101136462)

Sciensano, Transversal activities in Applied Genomics Service, Belgium
License Information

Text and Data Mining valid from 2026-05-11

Accepted Manuscript valid from 2026-05-11
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Article History

Received: 31 January 2026

Accepted: 6 April 2026

First Online: 11 May 2026

Competing interests

: The authors declare no competing interests.

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