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Centrifugation

Centrifugation

Centrifugation is a separation technique based on differences in density or size. It is commonly used to separate solids from aqueous interferents. During centrifugation, the sample is placed in centrifugation tubes and spun at high angular velocity, which allows centrifugal force to act differentially on the different densities or masses of the components. After spinning, the supernatant liquid is decanted. Depending on the specific application, either the pellet or the supernatant is retained...

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A quick method for fraud detection in egg labels based on egg centrifugation plasma.

Gema Puertas¹, Patricia Cazón¹, Manuel Vázquez¹

¹Department of Analytical Chemistry, Faculty of Veterinary, University of Santiago de Compostela, 27002 Lugo, Spain.

|October 28, 2022

Summary

A new method uses egg plasma analysis to quickly and affordably detect fraudulent egg labels. Spectral measurements and classification algorithms accurately differentiate between the four EU legal farming methods.

Keywords:

Chemometrics Colour Egg Farming methods Fraud Organic production Protein Spectroscopy

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Area of Science:

Food science
Analytical chemistry
Agricultural science

Background:

Egg labeling fraud is a concern for consumers and regulators.
Current methods for verifying egg farming practices can be time-consuming or expensive.
The EU has four legal farming methods that require accurate labeling.

Purpose of the Study:

To develop a rapid, cost-effective method for detecting fraudulent egg labels.
To differentiate between eggs from the four legal EU farming systems using plasma analysis.

Main Methods:

Egg centrifugation to obtain plasma.
Analysis of plasma protein content, color parameters (L*, a*, b*), and UV-VIS-NIR spectra.
Application of classification algorithms: Support-Vector-Machine (SVM), Linear-Discriminant-Analysis (LDA), and Quadratic-Discriminant-Analysis (QDA).

Main Results:

Protein content analysis did not reveal significant differences between egg groups.
Plasma color parameters and spectral measurements showed significant variations.
Quadratic-Discriminant-Analysis (QDA) using visible spectra achieved 100% sensitivity in the calibration set.
The validation set demonstrated 87.5% sensitivity and 94.07% specificity.

Conclusions:

Plasma spectral measurements combined with classification algorithms offer a powerful tool for discriminating between EU egg farming systems.
This method provides a fast and reliable approach for egg label control and fraud detection.