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Título: A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
Autor(es): Plácido, Alexandra
Silva, Frederico Ferreira da
Leite, José Roberto de Souza de Almeida
Santos Álvarez, Noemí de los
Delerue Matos, Cristina
ORCID: https://orcid.org/0000-0003-2706-7777
Afiliação do autor: Instituto Politécnico do Porto, Instituto Superior de Engenharia do Porto, REQUIMTE/LAQV
Universidade do Porto, i3S, Instituto de Investigação e Inovação em Saúde
Universidade do Porto, Instituto de Biologia Molecular e Celular
Universidade de Brasília, Campus Darcy Ribeiro, Faculdade de Medicina, Área Morfologia
Universidad de Oviedo, Departamento de Química Física y Analítica
Assunto: Alimentos geneticamente modificados
Alimentação
Alimentação dos animais
Data de publicação: 26-Fev-2023
Editora: Plos One
Referência: PLÁCIDO, Alexandra et al. A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed. Plos One, [S.l.], 26 fev. 2020. DOI: https://doi.org/10.1371/journal.pone.0229659. Disponível em: https://doi.org/10.1371/journal.pone.0229659. Acesso em: 19 mar. 2024.
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 commer cial products. To deal with the increased number of GMO events and to address related reg ulations, 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 sam ples were achieved, whose detection limits were 20 pM and 16 pM, respectively. The repro ducibility 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.
Unidade Acadêmica: Faculdade de Medicina (FM)
Licença: © 2020 Plácido et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI: https://doi.org/10.1371/journal.pone.0229659
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