Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/57619
Type: Artigo de Periódico
Title: Discrimination between conventional and omega-3 fatty acids enriched eggs by FT-Raman spectroscopy and chemometric tools
Authors: Thiago de Oliveira Mendes
Brenda Lee Simas Porto
Cristiano Fantini Leite
Mariana Ramos de Almeida
Marcelo Martins de Sena
Abstract: 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.
Subject: Espectroscopia de Raman
Quimiometria
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: ICX - DEPARTAMENTO DE FÍSICA
ICX - DEPARTAMENTO DE QUÍMICA
Rights: Acesso Restrito
metadata.dc.identifier.doi: https://doi.org/10.1016/j.foodchem.2017.12.084
URI: http://hdl.handle.net/1843/57619
Issue Date: 2019
metadata.dc.url.externa: https://www.sciencedirect.com/science/article/pii/S0308814617320551?via%3Dihub
metadata.dc.relation.ispartof: Food Chemistry
Appears in Collections:Artigo de Periódico

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