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

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Artavia González, Graciela, Granados Chinchilla, Fabio
Định dạng: artículo original
Ngày xuất bản:2021
Miêu tả: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.
Quốc gia:Kérwá
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Kérwá
Ngôn ngữ:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/90205
Truy cập trực tuyến:https://dergipark.org.tr/en/pub/akademik-gida/issue/65451/1011209
https://hdl.handle.net/10669/90205
Từ khóa:OIL
QUALITY
VEGETABLE OILS
FOOD CONSUMPTION