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Title: | Classification of Hen Eggs by HPLC-UV Fingerprinting and Chemometric Methods |
Author: | Campmajó Galván, Guillem Cayero, Laura Saurina, Javier Núñez Burcio, Oscar |
Keywords: | Dactiloscòpia Quimiometria Cuina (Ous) Fingerprints Chemometrics Cooking (Eggs) |
Issue Date: | 29-Jul-2019 |
Publisher: | MDPI |
Abstract: | Hen eggs are classified into 4 groups according to their production method: organic, free-range, barn or caged. It is known that a fraudulent practice is the misrepresentation of a high quality egg with a lower one. In this work, high performance liquid chromatography with ultraviolet detection (HPLC-UV) fingerprints were proposed as a source of potential chemical descriptors to achieve the classification of hen eggs according to their labelled type. A reversed-phase separation was optimized to obtain discriminant enough chromatographic fingerprints, which were subsequently processed by means of principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). Particular trends were observed for organic and caged hen eggs by PCA and, as expected, these groupings were improved by PLS-DA. The applicability of the method to distinguish egg manufacturer and size was also studied by PLS-DA, observing variations in the HPLC-UV fingerprints in both cases. Moreover, the classification of higher class eggs, in front of any other with one lower, and hence cheaper, was studied by building paired PLS-DA models, reaching a classification rate of at least 82.6% (100% for organic vs non-organic hen eggs) and demonstrating the suitability of the proposed method. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/foods8080310 |
It is part of: | Foods, 2019, vol. 8, num. 8, p. 310 |
URI: | http://hdl.handle.net/2445/139181 |
Related resource: | https://doi.org/10.3390/foods8080310 |
ISSN: | 2304-8158 |
Appears in Collections: | Articles publicats en revistes (Enginyeria Química i Química Analítica) |
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