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Prediction of seasonal variation of butters by computing the fatty acids composition with artificial neural networks

✍ Scribed by Alessandro Gori; Chiara Cevoli; Selenia Melia; Marco Nocetti; Angelo Fabbri; Maria Fiorenza Caboni; Giuseppe Losi


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
223 KB
Volume
113
Category
Article
ISSN
1438-7697

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## Abstract The fatty acid profiles of 120 commercial unblended peanut, corn, soybean and sunflower vegetable oils and 17 commercial brands of blended edible oils were determined by HRGC/FID/capillary column, including several __cis__ and __trans__ isomers of mono‐, di‐ and tri‐unsaturated fatty ac