Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/1030
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Discrimination of Wild and Cultured European Sea Bass (Dicentrarchus labrax) Using Chemical and Isotopic Analyses
Author(s): Bell, J Gordon
Preston, Tom
Bron, James
Henderson, R James
Strachan, Fiona
Cooper, Karen
Morrison, Douglas J
Contact Email: j.e.bron@stir.ac.uk
Keywords: sea bass
product authentication
fatty acid compositions
Isotope ratio
Fishes Nutrition Requirements
European seabass fisheries
Food adulteration and inspection
Food analysis
Issue Date: Jul-2007
Date Deposited: 2-Apr-2009
Citation: Bell JG, Preston T, Bron J, Henderson RJ, Strachan F, Cooper K & Morrison DJ (2007) Discrimination of Wild and Cultured European Sea Bass (Dicentrarchus labrax) Using Chemical and Isotopic Analyses. Journal of Agricultural and Food Chemistry, 55 (15), pp. 5934-5941. https://doi.org/10.1021/jf0704561
Abstract: Recent legislation in the EU (EC/2065/2001) requires that 28 seafood must provide the 29 consumer with information that describes geographical origin and production method. The 30 present studies aimed to establish methods, based on chemical and stable isotopic analysis, 31 that could reliably differentiate between wild and farmed European sea bass (Decntrarchus 32 labrax). The study measured fatty acid and isotopic compositions (δ13C & δ18O) of total flesh 33 oil, δ15N of the glycerol/choline fraction and compound specific analysis of fatty acids (δ13C)34 by isotope ratio mass spectrometry (IRMS). The sample set comprised of 10 wild and 10 35 farmed sea bass from England (wild) and Scotland or Greece (farmed). Discrimination was 36 achieved using fatty acid composition with 18:0, 18:2n-6, 20:4n-6 and 22:6n-3 providing the 37 highest contributions for discrimination. Principal components analysis of the data set 38 provided good discrimination between farmed and wild sea bass where factor 1 and factor 2 39 accounted for 60% of the variation in the data.40
DOI Link: 10.1021/jf0704561
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