AI Article Synopsis

  • The global cultivation of genetically modified organisms (GMOs) is increasing, but consumer concerns and labeling regulations are prompting the need for better detection methods.
  • A new genosensor using Surface Plasmon Resonance was developed for the detection of genetically modified soybeans (event GTS 40-3-2), achieving impressive detection limits of 20 pM for event-specific and 16 pM for taxon-specific samples.
  • With a low reproducibility rate of 1.4%, this genosensor is positioned as a reliable and cost-effective alternative for quantifying GMOs in food and feed products.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043770PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0229659PLOS

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