Raman spectroscopy for discriminating transgenic corns

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)-
Autor(es): dc.creatorDib, Samia Rodrigues [UNESP]-
Autor(es): dc.creatorSilva, Tiago Varão [UNESP]-
Autor(es): dc.creatorNeto, José Anchieta Gomes [UNESP]-
Autor(es): dc.creatorGuimarães, Lauro José Moreira-
Autor(es): dc.creatorFerreira, Ednaldo José-
Autor(es): dc.creatorFerreira, Edilene Cristina [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:48:27Z-
Data de disponibilização: dc.date.available2022-02-22T00:48:27Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.vibspec.2020.103183-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/206866-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/206866-
Descrição: dc.descriptionDiscrimination of genetically modified organisms is increasingly required by legislation and consumers worldwide. Currently the most commonly used detection methods for identification of transgenic crops are high cost, destructive and time-consuming, so not suitable for fast and extensive application. Raman is a noninvasive and nondestructive spectroscopic technique capable of extracting sample fingerprints. In this paper, Raman spectroscopy and chemometric tools were evaluated for discrimination of transgenic corn. Different spectral preprocessing as well as algorithms for variables selection were evaluated to fit a classifier model based on linear discriminant analysis (LDA). Results showed spectral bands assigned to carbohydrates and carotenoids responsible for classes discrimination. The best classifier achieved 87.5 % of predictive accuracy. These results suggest that genetic differences between evaluated classes are also expressed in their chemical composition, which could be detected using Raman spectroscopy. The developed method is clean, fast and can contribute for establishing normative about genetically modified foods.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionSão Paulo State University – UNESP Chemistry Institute Dep. of Analytical Physical-Chemical and Inorganic Chemistry Rua Prof. Francisco Degni, 55, Quitandinha, P.O. Box 355-
Descrição: dc.descriptionEmbrapa Maize & Sorghum, Rodovia MG-424, Km 45, P.O. Box: 285 or 151-
Descrição: dc.descriptionEmbrapa Instrumentation Rua XV de Novembro, 1.452, Centro, P.O. Box 741-
Descrição: dc.descriptionSão Paulo State University – UNESP Chemistry Institute Dep. of Analytical Physical-Chemical and Inorganic Chemistry Rua Prof. Francisco Degni, 55, Quitandinha, P.O. Box 355-
Idioma: dc.languageen-
Relação: dc.relationVibrational Spectroscopy-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCorn-
Palavras-chave: dc.subjectGenetic modification-
Palavras-chave: dc.subjectLDA-
Palavras-chave: dc.subjectRaman spectroscopy-
Palavras-chave: dc.subjectTransgenic-
Título: dc.titleRaman spectroscopy for discriminating transgenic corns-
Tipo de arquivo: dc.typelivro digital-
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