Identification and characterization of fish oil supplements based on fatty acid analysis combined with a hierarchical clustering algorithm

Authors

  • Sakda Khoomrung,

    Corresponding author
    1. Institute of Chemistry–Analytical Chemistry, Karl-Franzens University, Graz, Austria
    • Correspondence: Dr. Sakda Khoomrung, Department of Chemical and Biological Engineering, Chalmers University of Technology, Kemivägen 10, SE 412 96 Gothenburg, Sweden

      E-mail: skhoomrung@gmail.com

      Fax: +46 (0) 31 772 3801

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  • Georg Raber,

    1. Institute of Chemistry–Analytical Chemistry, Karl-Franzens University, Graz, Austria
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  • Kobkul Laoteng,

    1. Fermentation Technology and Biochemical Engineering Laboratory, Bioresources Technology Unit, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand
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  • Kevin A. Francesconi

    1. Institute of Chemistry–Analytical Chemistry, Karl-Franzens University, Graz, Austria
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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.

ejlt201300369-gra-0001

Identification of fish oil supplements.

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