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- Title
Identification and characterization of fish oil supplements based on fatty acid analysis combined with a hierarchical clustering algorithm.
- Authors
Khoomrung, Sakda; Raber, Georg; Laoteng, Kobkul; Francesconi, Kevin A.
- Abstract
We report a method for simple screening and quality assessment of fish oil supplements based on fatty acid profiles of 25 commercial fish oil supplements determined by using GC/MS with a hierarchical clustering algorithm. Different fatty acid profiles were obtained for the various fish oil products derived from different sources and processes. The contents of eicosapentaenoic acid (20:5 n-3) and DHA (22:6 n-3), and of other specific fatty acids as well, could be used as a chemotaxonomic marker to characterize the fish oils. A hierarchical clustering algorithm was then generated and used to efficiently categorize the fish oil products in terms of fish origin, oil components, and production process.
- Subjects
FISH oils in human nutrition; DIETARY supplements; FATTY acid analysis; DOCOSAHEXAENOIC acid; EICOSAPENTAENOIC acid; CLUSTER analysis (Statistics)
- Publication
European Journal of Lipid Science & Technology, 2014, Vol 116, Issue 7, p795
- ISSN
1438-7697
- Publication type
Article
- DOI
10.1002/ejlt.201300369