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Species differentiation bymultivariate analysis of phospholipids from canned atlantic tuna

AuthorsMedina, Isabel ; Aubourg, Santiago P. ; Pérez Martín, Ricardo Isaac
KeywordsTuna species
Discriminant analysis
Issue Date1997
PublisherAmerican Chemical Society
CitationJournal of Agricultural and Food Chemistry 45(7): 2495-2499 (1997)
AbstractMultivariate statistical analyses have been applied to different parameters regarding phospholipid classes with the aim of differentiating between three species of canned Atlantic tuna:  albacore (Thunnus alalunga), bonito (Sarda sarda), and big eye tuna (Thunnus obesus). Using forward discriminant function analysis to generate classification functions, 14 variables were chosen, showing the content of the 20:4n−6 fatty acid in the phospholipid fraction, the highest value of Wilk's lambda. An excellent percentage of right classification in the three species groupings was obtained. The efficiency of the generated functions was tested using a set of canned tuna samples. Commercial albacore and bonito samples, samples caught during different years, and overprocessed samples were successfully identified employing this technique.
Description5 páginas, 7 tablas, 1 figura
Publisher version (URL)http://dx.doi.org/10.1021/jf960695g
Appears in Collections:(IIM) Artículos
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