English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/52925
Title: Validation of a method for the analysis of phytosterols in sunflower seeds
Authors: Fernández-Cuesta, Álvaro; Aguirre-González, Marta R.; Ruiz Méndez, Mª Victoria ; Velasco Varo, Leonardo
Keywords: Oil analysis
Seed analysis
Sunflower seeds
Issue Date: Mar-2012
Publisher: Wiley-VCH
Citation: European Journal of Lipid Science and Technology 114(3): 325-331 (2012)
Abstract: Phytosterols are natural compounds that contribute to lower serum cholesterol in humans. Sunflower seeds and oils are rich sources of phytosterols. Breeding for phytosterol content in sunflower has been scarce thus far, mainly because of the lack of analytical methods suitable for use in plant breeding. The objective of this research was to validate a method for the analysis of phytosterols in small seed samples of sunflower. Samples consisting of six seeds were analyzed for phytosterol content in a set of 87 inbred lines using a method adapted to small samples. The accuracy of the method was evaluated through the standard error of the analysis of replicates of ground samples, which was 72.12mg/kg compared to average values of 1665.3 and 1887.2mg/kg seed in the samples. Sunflower inbred lines showed ranges of variation from 1426.0 to 4710.0mg/kg seed and from 2855.2 to 9752.0mg/kg oil. The method correlated strongly with the conventional method based on the analysis of extracted oils (r=0.85). The results indicated that analysis of phytosterols on samples consisting of sunflower seeds is an accurate approach for breeding and genetic studies, in which extraction of the seed oil is not feasible. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
URI: http://hdl.handle.net/10261/52925
DOI: 10.1002/ejlt.201100138
Identifiers: doi: 10.1002/ejlt.201100138
issn: 1438-7697
e-issn: 1438-9312
Appears in Collections:(IG) Artículos
Files in This Item:
There are no files associated with this item.
Show full item record

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.