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Differentiating between anadromous and stationary Arctic Char by fatty acid composition analysis using HPGC-FID and multivariate data analysis
2004 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Fatty acid composition analysis has been performed on Arctic Char (Salvelinus alpinus) from Linnévatnet, Svalbard. The objective of the present study was to differentiate between anadromous and stationary fishes. Previously the classification has been based on biological variables, e.g., length, weight and tissue color, but since the composition of fatty acids in muscle tissues are dependent on the diet, it should be possible to chemically distinguish between the two different life forms. Fatty acids were extracted and derivatized to fatty acid methyl esters (FAME) by direct methanolysis. The corresponding samples were analyzed using GC-FID. 40 different fatty acids were detected and 37 used in further data treatment. To reveal underlying patterns and clusters, multivariate data analysis was used. Two different groups were identified using PLS-2 and the variation in biological variables was explained by eight different fatty acids. SIMCA were then using for classification of the samples. Except 6 fishes, all was classified as either anadromous or stationary according the relative distribution of fatty acids in their muscle tissue. C15:1, C18:2n6t, C20 PUFA and C21:0 were classified as important marine fatty acids for Arctic Char, while C18:1n9t, C20:0, C22:0 and C22:1n9 were prominent in the stationary fishes. The results are not in total agreement with previous studies on other fish species. The differences may be explained by variations in habitat and feeding pattern among Arctic Char and the species formerly investigated.

Place, publisher, year, edition, pages
2004.
Keyword [en]
Technology
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-53132ISRN: LTU-EX--04/177--SELocal ID: a3235c72-179e-46a2-8461-ee4b209cf579OAI: oai:DiVA.org:ltu-53132DiVA: diva2:1026506
Subject / course
Student thesis, at least 30 credits
Educational program
Chemical Engineering, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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