Comparative fatty acid content of sunflower seeds of genotypes Romanian inbred lines using Artificial Neural Networks
Special Symposium - Innovations in Food Technology (LMC Congress)
Innovations in Food Technology - Poster Session (Food - P2)
Keywords: Sunflower genotypes, Fatty acids, Total lipids, Oilseeds, ANN
Dorina Bratfalean, D.F. Irimie, P.S. Agachi,
Faculty of Chemistry and Chemical Engineering, Str. Arany Janos 11, Cluj-Napoca, Romania, E-mail: dorinet63@yahoo.com
Abstract:
Among species of oleaginous plants grown in Romania, a high-ranking positive is held by varieties of sunflower. Sunflower seed is considered an important oilseed source crop due it’s highly nutrition oil composition. A large quantity sunflower seeds are source of raw materials required for industrial purposes in human and animal food and nonfood application.
The aim of our research work has been the study of seed and fatty acid content of genotypes of Romania sunflower.
Material and Method:
There were drawn a number of 10 samples (10 of seed), and submitted to certain investigations: taste characteristics, gross chemical composition (performed by means of classical methods), freshness of fats contents in a fatty acids and dividing the fatty acids contents behavior into three groups: saturated, mono-unsaturated and polyunsaturated fatty acids using Artificial Neural Networks (ANN).
The results obtained have led to the following conclusion: a large variability point of view of lipid percent content in genotypes of sunflower, the groups of the fatty acids: C14:00, C15:00, C16:00, C16:01, C17:00, C18:00, C18:01, C18:02, C18:03, C20:00 was determinates by experiments. Great variation has been observed in fatty acid content of sunflower seeds. The classification results of three groups reveal good accuracy of the trained ANN for classifying in three classes the fatty content behavior, with no error.
References: with the authors
Presented Thursday 20, 13:30 to 14:40, in session Innovations in Food Technology - Poster Session (Food - P2).
