Discrimination, quantitation, and identification of edible vegetable oil blends based on their fatty acid profiles

 

Guardado en:
Detalles Bibliográficos
Autores: Artavia González, Graciela, Granados Chinchilla, Fabio
Formato: artículo original
Fecha de Publicación:2021
Descripción:Based on the most common vegetable oil blends, binary and ternary analytical mixtures were constructed in mass fractions from 0.50 to 0.97, and their fatty acid profile was determined and represented graphically. The fatty acids with discriminatory power were selected to construct equations to predict commercial oil blend proportions. Three different linear equations resulted from the analysis for i. palm oil-based blends: y = (0.3713 ± 0.0217)x + (11.401 ± 0.68) for C18:2 and (0.4357 ± 0.0254)x + (51.281 ± 2.90) for C16:0 ii. soybean oil-based blends y = (-0.0789 ± 0.0046)x + (30.686 ± 1.71) for C18:1 and (0.0686 ± 0.0040)x - (0.1395 ± 0.0081) for C18:3 and iii. sunflower oil-based blends y = (-0.0552 ± 0.0032)x + (12.167 ± 0.6105) for C16:0. Finally, the fatty acid profiles of n = 10 commercial samples (i.e., vegetable oil blends) were determined, and the model was applied to them with satisfactory results.
País:Kérwá
Institución:Universidad de Costa Rica
Repositorio:Kérwá
Lenguaje:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/90205
Acceso en línea:https://dergipark.org.tr/en/pub/akademik-gida/issue/65451/1011209
https://hdl.handle.net/10669/90205
Access Level:acceso abierto
Palabra clave:OIL
QUALITY
VEGETABLE OILS
FOOD CONSUMPTION