Authentication of the Geographical Origin of Margarines and Fat-Spread Products from Liquid Chromatographic UV-Absorption Fingerprints and Chemometrics
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Bikrani, Sanae; Jiménez Carvelo, Ana María; Nechar, Mounir; Bagur González, María Gracia; Souhail, Badredine; Cuadros Rodríguez, LuisEditorial
MDPI
Materia
Liquid chromatography fingerprinting Food authentication Margarines and spreads Multivariate classification
Date
2019-11-19Referencia bibliográfica
Bikrani, S., Jiménez-Carvelo, A. M., Nechar, M., Bagur-González, M. G., Souhail, B., & Cuadros-Rodríguez, L. (2019). Authentication of the Geographical Origin of Margarines and Fat-Spread Products from Liquid Chromatographic UV-Absorption Fingerprints and Chemometrics. Foods, 8(11), 588.
Abstract
Fat-spread products are a stabilized emulsion of water and vegetable oils. The whole fat
content can vary from 10 to 90% (w/w). There are different kinds, which are differently named, and
their composition depends on the country in which they are produced or marketed. Thus, having
analytical solutions to determine geographical origin is required. In this study, some multivariate
classification methods are developed and optimised to differentiate fat-spread-related products from
different geographical origins (Spain and Morocco), using as an analytical informative signal the
instrumental fingerprints, acquired by liquid chromatography coupled with a diode array detector
(HPLC-DAD) in both normal and reverse phase modes. No sample treatment was applied, and,
prior to chromatographic analysis, only the samples were dissolved in n-hexane. Soft independent
modelling of class analogy (SIMCA) and partial least squares-discriminant analysis (PLS-DA) were
used as classification methods. In addition, several classification strategies were applied, and
performance of the classifications was evaluated applying proper classification metrics. Finally, 100%
of samples were correctly classified applying PLS-DA with data collected in reverse phase.