| Autor: |
Axelson DE; MRi_Consulting, Kingston, Ontario, Canada., Standal IB, Martinez I, Aursand M |
| Jazyk: |
angličtina |
| Zdroj: |
Journal of agricultural and food chemistry [J Agric Food Chem] 2009 Sep 09; Vol. 57 (17), pp. 7634-9. |
| DOI: |
10.1021/jf9013235 |
| Abstrakt: |
In this study, we present the use of Bayesian Belief Networks (BBN) for the classification of wild versus farmed Atlantic salmon (Salmo salar L.). Using a data set of 131 salmon samples from several geographical origins and the gas chromatography-derived distributions of 12 fatty acids (FAs), a Bayesian Belief Network was constructed, ultimately using only the three most important FAs (16:1n-7, 18:2n-6, and 22:5n-3). The training data set yielded a prediction error of 0% (68/68 farmed; 20/20 wild correct) while the validation data set prediction error was 4.65% (32/32 farmed; 9/11 wild correct). Different randomly chosen validation sets yielded similar prediction accuracies. This model was then applied to 30 market (store-bought) samples where predictions were compared with the product labels. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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