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

Detalhes bibliográficos
Autor(a) principal: Plácido, A
Data de Publicação: 2020
Outros Autores: Ferreira-da-Silva, F, Leite, JRSA, Los-Santos-Álvarez, N, Delerue-Matos, C
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/141480
Resumo: 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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spelling A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feedThe 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.Public Library of Science20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/141480eng1932-620310.1371/journal.pone.0229659Plácido, AFerreira-da-Silva, FLeite, JRSALos-Santos-Álvarez, NDelerue-Matos, Cinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:20:47Zoai:repositorio-aberto.up.pt:10216/141480Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:21:16.417323Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
title A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
spellingShingle A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
Plácido, A
title_short A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
title_full A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
title_fullStr A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
title_full_unstemmed A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
title_sort A convenient renewable surface plasmon resonance chip for relative quantification of genetically modified soybean in food and feed
author Plácido, A
author_facet Plácido, A
Ferreira-da-Silva, F
Leite, JRSA
Los-Santos-Álvarez, N
Delerue-Matos, C
author_role author
author2 Ferreira-da-Silva, F
Leite, JRSA
Los-Santos-Álvarez, N
Delerue-Matos, C
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Plácido, A
Ferreira-da-Silva, F
Leite, JRSA
Los-Santos-Álvarez, N
Delerue-Matos, C
description 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/141480
url https://hdl.handle.net/10216/141480
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1932-6203
10.1371/journal.pone.0229659
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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