RT Journal Article
T1 Fraud detection in hen housing system declared on the eggs’ label: An accuracy method based on UV-VIS-NIR spectroscopy and chemometrics
A1 Puertas, Gema
A1 Vázquez Vázquez, Manuel
K1 Egg
K1 Fraud
K1 Cholesterol
K1 Farming methods
K1 Organic production
K1 Chemometrics
K1 Spectroscopy
AB EU regulation classifies egg production in four hen housing systems: organic, free range, barn and cages. However, there are no analytical methods for a complete detection of the housing systems declared on the eggs’ label. This work describes a new method for this task. A lipid extract was obtained, and eggs classified in the four housing systems by UV-VIS-NIR spectroscopy and chemometrics. A total of 192 spectra were analysed. Eggs were classified by Support Vector Machine classification and Linear and Quadratic Discriminant Analysis (LDA and QDA, respectively). The cholesterol concentration did not allow to classify correctly the four farming systems. However, the yolk lipid extract successfully classified the eggs of the hen housing system. Results showed 100% accuracy by UV-VIS-NIR spectrum of the yolk lipid extract with the QDA statistical analysis. These results indicate that this lipid extract is a promising tool for analytical verification of the farming system.
PB Elsevier
SN 0308-8146
YR 2019
FD 2019-03-06
LK https://hdl.handle.net/10347/38515
UL https://hdl.handle.net/10347/38515
LA eng
NO Gema Puertas, Manuel Vázquez, Fraud detection in hen housing system declared on the eggs’ label: An accuracy method based on UV-VIS-NIR spectroscopy and chemometrics, Food Chemistry, Volume 288, 2019, Pages 8-14, ISSN 0308-8146, https://doi.org/10.1016/j.foodchem.2019.02.106.
NO This work was supported by the Spanish National Plan for Scientific and Technical Research and Innovation. A University Teacher Education grant (FPU 16/05128) by the Spanish Ministry of Education, Culture and Sport to author Gema Puertas is gratefully acknowledged.
DS Minerva
RD 28 abr 2026