Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/192144
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Authentication of retail cheeses based on fatty acid composition and multivariate data analysis

AutorVargas-Bello-Pérez, Einar; Gómez-Cortés, Pilar CSIC ORCID ; Geldsetzer-Mendoza, Carolina; Sol Morales, María; Ibáñez, Rodrigo A.
Fecha de publicación2018
EditorElsevier
CitaciónInternational Dairy Journal 85: 280-284 (2018)
ResumenA methodology to discriminate retail cheeses by principal component analysis (PCA) and consequent orthogonal partial least squares discrimination analysis (OPLS-DA) using fatty acid (FA) profile differences is reported. Multivariate analysis included retail cheeses from 3 different varieties (Gouda, Chanco and Mantecoso) and 2 distinct scales of production. PCA was useful in discriminating cheeses according to their variety, but it did not allow differentiation according to the scale of production. Gouda and Chanco cheeses were differentiated by saturated FAs (C6:0, C8:0, C10:0, C11:0, C12:0, C14:0, C16:0, and C18:0) whereas Mantecoso cheese was discriminated by specific (C4:0, C14:1, C16:1, C17:0, and C18:1) FAs. OPLS-DA differentiated cheeses based on the scale of production, which would be related to the feeding regime of the dairy cattle. C16:1c9 showed the strongest association with large-scale production cheeses and intensive systems, while C15:0c9, C17:0, C20:1n9, C20:4n6, and C22:2 were characteristic of artisanal cheeses and extensive feeding regimes.
Versión del editorhttps://doi.org/10.1016/j.idairyj.2018.06.011
URIhttp://hdl.handle.net/10261/192144
DOI10.1016/j.idairyj.2018.06.011
ISSN0958-6946
E-ISSN1879-0143
Aparece en las colecciones: (CIAL) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
accesoRestringido.pdf59,24 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

10
checked on 21-mar-2024

WEB OF SCIENCETM
Citations

9
checked on 28-feb-2024

Page view(s)

199
checked on 28-mar-2024

Download(s)

24
checked on 28-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.