Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/57619
Tipo: Artigo de Periódico
Título: Discrimination between conventional and omega-3 fatty acids enriched eggs by FT-Raman spectroscopy and chemometric tools
Autor(es): Thiago de Oliveira Mendes
Brenda Lee Simas Porto
Cristiano Fantini Leite
Mariana Ramos de Almeida
Marcelo Martins de Sena
Resumen: 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.
Asunto: Espectroscopia de Raman
Quimiometria
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Institución: UFMG
Departamento: ICX - DEPARTAMENTO DE FÍSICA
ICX - DEPARTAMENTO DE QUÍMICA
Tipo de acceso: Acesso Restrito
Identificador DOI: https://doi.org/10.1016/j.foodchem.2017.12.084
URI: http://hdl.handle.net/1843/57619
Fecha del documento: 2019
metadata.dc.url.externa: https://www.sciencedirect.com/science/article/pii/S0308814617320551?via%3Dihub
metadata.dc.relation.ispartof: Food Chemistry
Aparece en las colecciones:Artigo de Periódico

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