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Purpose: In this study, essential oil (EO) compositions of the dried and fresh aerial parts of Origanum majorana cultivated in the research field and collected from f from Mersin was investigated. Material and Methods: EO was distilled by using Clevenger type apparatus for 3 h and the chemical compositions were detected in GC-MS. While, the oil yields of the the collected marjoram was determined to be 2,5 ml both in dried and fresh aerial parts, the yields of the cultivated plants for fresh and dried parts were 3.6 ml and 5 ml, respectively. The cultivation of the plant had positive effects on the EO yield. Drying of the material also increased the oil yield in the cultivated marjoram. Results: While there were 42 and 35 of EO components were observed in the fresh and dried parts of the collected marjoram, respectively; in the cultivated plants there were 30 and 40 components detected. Besides EO yields, in this research the differences with respect to composition and components were determined between the cultivated and collected plants. On the other hand, in this study, it was determined that the EO compositions varied with respect to be fresh or dry of the plant parts. It was observed that carvacrol and linalool were the major EO contents. Conclusion: The aim of the study to compare of differences between the EO compounds and compositions varied according to be the plant fresh or dry and collected or cultivated.

In the present study, the seeds named as wild mustard (Sinapis arvensis L.) and safflower (Carthamus tinctorius L.) were used as feedstocks for production of biodiesels. In order to obtain wild mustard seed oil (WMO) and safflower seed oil (SO), screw press apparatus was used. wild mustard seed oil biodiesel (WMOB) and safflower seed oil biodiesel (SOB) were produced using methanol and NaOH by transesterification process. Various properties of these biodiesels such as density (883.62-886.35 kg m −3 ), specific gravity (0.88442-0.88709), kinematic viscosity (5.75-4.11 mm 2 s −1 ), calorific value (40.63-38.97 MJ kg −1 ), flash point (171-175 • C), water content (328.19-412.15 mg kg −1 ), color (2.0-1.8), cloud point [5.8-(−4.7) • C], pour point [(-3.1)-(-13.1) • C), cold filter plugging point [(−2.0)-(−9.0) • C)], copper strip corrosion (1a-1a) and pH (7.831-7.037) were determined. Furthermore, kinematic viscosities of biodiesels and euro-diesel (ED) were measured at 298.15-373.15 K intervals with 1 K increments. Four different equations were used to predict the viscosities of fuels. Regression analyses were done in MATLAB program, and R 2 , correlation constants and root-mean-square error were determined. 1-7-7-3 artificial neural network (ANN) model with a back propagation learning algorithm was developed to predict the viscosities of fuels. The performance of neural B Tanzer Eryilmaz network-based model was compared with the performance of viscosity prediction models using same observed data. It was found that ANN model consistently gave better predictions (0.9999 R 2 values for all fuels) compared to these models. ANN model was showed 0.34 % maximum errors. Based on the results of this study, ANNs appear to be a promising technique for predicting viscosities of biodiesels.

In recent years, the use of vegetable oils in biodiesel production has led to an increase in the importance of oilseed plants. Camelina [Camelina sativa (L.) Crantz] is one of the potential plants that can be used in biodiesel production. Camelina is an annual plant in the Brassicacea family and one of the 6 widely known Camelina species (C. sativa, C. laxa, C. rumelica, C. microcarpa, C. Hispida, and C. anomala). In this study, camelina crude oil was obtained from camelina seeds with the help of a screw press and the fatty acid components of this oil were investigated. Biodiesel production (B100) was carried out from camelina crude oil in two stages by transesterification method, and camelina biodiesel was blended with diesel fuel of 20% (B20), 7% (B7) and 2% (B2) at different volumes. The physicochemical properties of these fuels including; (kinematic viscosity, density, water content, calorific value, flash point, cloud point, cold filter plugging point, copper strip corrosion, color) were determined and compared to EN 14214 for B100 pure biodiesel fuel, EN 16709 for B20 fuel, and EN 590 for B7 and B2 fuels. According to the results obtained, it can be said that camelina biodiesel (B100) and blended fuels (B20, B7 and B2) have fuel properties that can be used in diesel engines without being modified.