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http://hdl.handle.net/1843/57619
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Campo DC | Valor | Idioma |
---|---|---|
dc.creator | Thiago de Oliveira Mendes | pt_BR |
dc.creator | Brenda Lee Simas Porto | pt_BR |
dc.creator | Cristiano Fantini Leite | pt_BR |
dc.creator | Mariana Ramos de Almeida | pt_BR |
dc.creator | Marcelo Martins de Sena | pt_BR |
dc.date.accessioned | 2023-08-08T19:45:30Z | - |
dc.date.available | 2023-08-08T19:45:30Z | - |
dc.date.issued | 2019 | - |
dc.citation.volume | 273 | pt_BR |
dc.citation.spage | 144 | pt_BR |
dc.citation.epage | 150 | pt_BR |
dc.identifier.doi | https://doi.org/10.1016/j.foodchem.2017.12.084 | pt_BR |
dc.identifier.issn | 1873-7072 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/1843/57619 | - |
dc.description.resumo | This work developed an analytical method to differentiate conventional and omega-3 fat acids enriched eggs by Raman spectroscopy and multivariate supervised classification with Partial Least Squares Discriminant Analysis (PLS-DA). Forty samples of enriched eggs and forty samples of different types of common eggs from different batches were used to build the model. Firstly, gas chromatography was employed to analyze fatty acid profiles in egg samples. Raman spectra of the yolk extracts were recorded in the range from 3100 to 990 cm−1 . PLS-DA model was able to correctly classify samples with nearly 100% success rate. This model was validated estimating appropriate figures of merit. Predictions uncertainties were also estimated by bootstrap resampling. The most discriminant Raman modes were identified based on VIP (variables importance in projection) scores. This method has potential to assist food industries and regulatory agencies for food quality control, allowing detecting frauds and enabling faster and reliable analyzes. | pt_BR |
dc.description.sponsorship | CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico | pt_BR |
dc.description.sponsorship | FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais | pt_BR |
dc.description.sponsorship | CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior | pt_BR |
dc.language | eng | pt_BR |
dc.publisher | Universidade Federal de Minas Gerais | pt_BR |
dc.publisher.country | Brasil | pt_BR |
dc.publisher.department | ICX - DEPARTAMENTO DE FÍSICA | pt_BR |
dc.publisher.department | ICX - DEPARTAMENTO DE QUÍMICA | pt_BR |
dc.publisher.initials | UFMG | pt_BR |
dc.relation.ispartof | Food Chemistry | - |
dc.rights | Acesso Restrito | pt_BR |
dc.subject | Food quality control | pt_BR |
dc.subject | Egg | pt_BR |
dc.subject | Raman spectra | pt_BR |
dc.subject | Lipids | pt_BR |
dc.subject | Supervised classification | pt_BR |
dc.subject | Chemometrics | pt_BR |
dc.subject.other | Espectroscopia de Raman | pt_BR |
dc.subject.other | Quimiometria | pt_BR |
dc.title | Discrimination between conventional and omega-3 fatty acids enriched eggs by FT-Raman spectroscopy and chemometric tools | pt_BR |
dc.type | Artigo de Periódico | pt_BR |
dc.url.externa | https://www.sciencedirect.com/science/article/pii/S0308814617320551?via%3Dihub | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0002-8346-1552 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0003-3469-0284 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0003-0436-7857 | pt_BR |
dc.identifier.orcid | https://orcid.org/0000-0001-5693-9015 | pt_BR |
Aparece en las colecciones: | Artigo de Periódico |
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