This study was performed in order to evaluate efficiency of near-infrared reflectance spectroscopy (NIRS) for the determination of fatty acid composition ratio of sunflower seeds and to compare performance of calibration methods. Calibration equations were developed using modified partial least squares (MPLS) and partial least squares (PLS) regression methods. Ninety-three sunflower seed varieties were from test field of East Mediterranean Agricultural Research Institute. In order to determine the reference fatty acid values needed to construct calibration in NIRS analysis, sunflower seed samples were analyzed by gas chromatography method. Coefficients of determination (R) in calibration were developed using MPLS and PLS as follows: for palmitic acid 0.706-0.664, for stearic acid 0.615-0.654, for oleic acid 0.996-0.994, for linoleic acid 0.995-0.994, for arachidic acid 0.768-0.643, for linolenic acid 0.818-0.763, for behenic acid 0.891-0.776, for eicosapentaenoic 0.933-0.892, for unsaturated fatty acid 0.837-0.890 and for saturated fatty acid 0.837-0.890 respectively. The results showed that NIRS was a reliable technique that can be used as a tool for rapid pre-screening of fatty acid composition of sunflower seeds.

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This study aimed to determine the oil ratios and fatty acid compositions of sunflowers grown in the warm climate of the Çukurova region at different sowing dates. Ot was found that the crude fat ratios of standard, mid-oleic and high-oleic sunflower types were 42.57%, 39.35% and 39.07%, respectively. Crude oil ratios of high-oleic and mid-oleic sunflower types were significantly decreased (p<0.05) at SD4 (sowing date 4, May 30th). The oleic acid contents in standard, mid-oleic and high-oleic sunflower types were found to be 60.08%, 74.35% and 88.1%, respectively. The oleic acid ratios of standard sunflower types were determined to be significantly lower at SD1 (April 15th) (p<0.05). The results show that it is more appropriate to sow the sunflowers between SD1 and SD2 (15 April to 30 April) in terms of producing the required oil and oleic acid contents. Also, both oil ratios and fatty acid compositions can change according to the sowing dates.

Present study was carried out to determine the effects of two oil extraction methods on the composition of oil fatty acid in sesame of some Turkish genotypes.Two oil extraction techniques viz.Cold pressing (CP) and Soxhlet extraction (SE), were compared for the fatty acid composition of 25 Turkish sesame genotype. Higher averaged sesame seed oil yield (54.7%) was obtained in the SE method than the CP method (31.1%). The oil compositions of sesame genotypes were compared and the presence of five main dominated sesame fatty acid components namely palmitic, stearic, arachidic, oleic and linoleic acid was reported. Among these five fatty acid, palmitic (9.38-10.56%) and stearic acids (4.73-5.12%) were reported predominant saturated fatty acids while arachidic acid was reported in minimum concentration in sesame oil ranging of 0.52 to 0.59 %. Oleic and linoleic acids are the major fatty acids of sesame oil and are reported in large amounts in the oils of all genotypes.The percentage of oleic acid ranged from 37.15 to 41.67, while this percentage was reported between 42.22 to 45.54 for Linoleic acid. From the results of this study, it can be concluded that the fatty acid profile of the sesame oil was not significantly influenced by oil extraction method.

Öz Günümüzde birçok kurum personel yemek hizmetlerini dış alım metoduyla profesyonel yemek şirketlerden temin etmektedir. Bu hizmet karşılığı yemek şirketlerine talep ettikleri yemek miktarı kadar ücret ödemektedirler. Yemeklerin cinsine, çıktığı güne, şirket çalışanlarının davranışlarına ve çalışan sayısına göre günlük tüketim miktarı değişmesine rağmen çoğu kurum kişisel tahminlerle karar vermekte ve israf oluşmaktadır. Bu çalışmada bir üniversite yemekhane sisteminden alınan veriler WEKA açık kaynak kodlu yazılımı vasıtasıyla Yapay Sinir Ağı, Destek Vektör Makinası ve Regresyon analizi metotları kullanımı ile günlük talep miktarının tahmini yapılmış ve ilgili metotların performans karşılaştırılması sunulmuştur. Yapılan çalışma ile üniversite gibi farklı davranışlara sahip tüketici tipine göre farklı metotların baskın olduğu ve seçilecek metot ile atık yemek miktarının minimize edilebileceği önerilmiştir.