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dc.contributor.authorAraujo, Pedroeng
dc.contributor.authorZeng, Yingxueng
dc.contributor.authorDu, Zhen-Yueng
dc.contributor.authorNguyen, Thu-Thaoeng
dc.contributor.authorFrøyland, Livareng
dc.contributor.authorGrung, Bjørneng
dc.date.accessioned2011-03-11T10:54:33Z
dc.date.available2011-03-11T10:54:33Z
dc.date.issued2010-11-22eng
dc.PublishedLipids 45: 1147-1158en_US
dc.identifier.urihttps://hdl.handle.net/1956/4574
dc.description.abstractExploring the capabilities of instrumental techniques for discriminating n-3 rich oils derived from animals is a very important though much neglected area that was emphasized more than 100 years ago. In this study the potential of gas chromatography (GC) for discriminating full fatty acid methyl ester (FAME) profiles from fish (cod liver and salmon) and marine mammal (seal and whale) oils is evaluated by means of principal component analysis (PCA). The FAME profiles from plant oils such as rapeseed, linseed and soy oils and seven different brands of n-3 supplements are also used in the discrimination process. The results from the PCA plots can reliably distinguish between plant, n-3 supplements, fish and marine mammal oils. By removing the contribution of the n-3 supplements and plant oils it is possible to discriminate between types of fish and marine animal oils. GC offers a rapid, simple and convenient means of discriminating oils from different species, brands and grades.en_US
dc.language.isoengeng
dc.publisherSpringeren_US
dc.rightsAttribution-NonCommercial CC BY-NCeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc/2.5/eng
dc.subjectMarine oileng
dc.subjectDiscriminationeng
dc.subjectGas chromatographyeng
dc.subjectPrincipal component analysiseng
dc.titleDiscrimination of n-3 Rich Oils by Gas Chromatographyen_US
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersionen_US
dc.rights.holderThe Author(s) 2010en_US
dc.rights.holderCopyright The Author(s) 2010. This article is published with open access at Springerlink.comen_US
dc.identifier.doihttps://doi.org/10.1007/s11745-010-3483-3
dc.subject.nsiVDP::Mathematics and natural science: 400en_US


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