Dataset Information

A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed.

ABSTRACT: The cultivation of genetically modified organisms (GMO) continues to expand worldwide. Still, many consumers express concerns about the use of GMO in food or feed, and many countries have legislated on labelling systems to indicate the presence of GMO in commercial products. To deal with the increased number of GMO events and to address related regulations, alternative detection methods for GMO inspection are required. In this work, a genosensor based on Surface Plasmon Resonance under continuous flow was developed for the detection and quantification of a genetically modified soybean (event GTS 40-3-2). In a single chip, the simultaneous detection of the event-specific and the taxon-specific samples were achieved, whose detection limits were 20 pM and 16 pM, respectively. The reproducibility was 1.4%, which supports the use of the chip as a reliable and cost-effective alternative to other DNA-based techniques. The results indicate that the proposed method is a versatile tool for GMO quantification in food and feed samples.

SUBMITTER: Placido A

PROVIDER: S-EPMC7043770 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed.

Plácido Alexandra A Ferreira-da-Silva Frederico F Leite José Roberto S A JRSA de-Los-Santos-Álvarez Noemí N Delerue-Matos Cristina C

PloS one 20200226 2

The cultivation of genetically modified organisms (GMO) continues to expand worldwide. Still, many consumers express concerns about the use of GMO in food or feed, and many countries have legislated on labelling systems to indicate the presence of GMO in commercial products. To deal with the increased number of GMO events and to address related regulations, alternative detection methods for GMO inspection are required. In this work, a genosensor based on Surface Plasmon Resonance under continuou ...[more]

PMID: 32101588

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Dataset Information

A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed.

Publications

A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed.

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