In this study, conducted on the selection of the most suitable method of determining the available sulfur content of soils where cotton is grown in the Coastal Aegean Region of Türkiye, soil and leaf samples were taken from a total of 40 cotton plantations in five different locations in the Coastal Aegean Region and Gediz Basin. Various physical and chemical characteristics of the soil’s samples, which were taken from a depth of 0-30 cm, were determined, and the available sulfur contents were determined with the use of seven different extraction solutions. The extraction method or methods by which the highest correlation or correlations were obtained between the available sulfur content of the soils and leaf sulfur contents of the plants in the same plantation were assessed as the most suitable methods. According to the results of the study, the highest soil-leaf correlation was obtained by soil extraction with Ca(H2PO4)2 solution, followed, in order, by the NH4OAc, KH2PO4, cold water and NaCl methods. No significant correlation was found between the amounts of sulfur determined by extraction with CaCl2 and KCl solutions and leaf sulfur contents. It was concluded that the most suitable methods for the determination of available sulfur in the soils of the Aegean Coastal Region where cotton is grown were the extraction methods using Ca(H2PO4)2 and NH4OAc solutions.

The extraction process of peanut oil has been a major concern for local processors due to the difficult task it constitutes during processing. The use of oil expellers has been found to reduce the difficulty in this task yet different processing factors tend to affect the efficiency of those oil expellers. In this study, the optimum peanut oil processing factors and their interaction were investigated using Response Surface Methodology (RSM) with fractional factorial design (33) model of Central Composite Design (CCD). Processing factors such as Moisture Content (10, 12, and 14% db), Peanut Temperature (50, 65, and 80°C), and Water Quantity added during extraction (12, 14, and 16 ml). This aimed at providing the optimum parameter needed to obtain the optimum oil yield using a peanut oil expeller. From this study, it was observed that all three factors considered affecting the oil yield of peanuts during extraction. Only water quantity added during extraction is statistically different. The optimum condition of the oil extraction processing parameter was observed at 50oC, 10 db, and 120 ml. The correlation coefficient (R-squared) of the model analysis was found to be 0.8901.

Propolis is a special resin and wax material collected from the leaves and shells of trees, buds and shoots of plants by honey bees (Apis mellifera L.). In recent years, many researchers have studied the chemical composition, biological activity and pharmacological properties of propolis. The colour, odour and pharmacological properties of the propolis composition also vary as the composition changes depending on the plant, region, season and bee colony. Flavonoids, aromatic acids, phenolic acids and esters are the main compounds responsible for the biological activity of propolis. A number of studies have been conducted on the use of propolis or its active ingredients in the treatment of cancer. It has been observed that the use of propolis did not cause side effects according to in-vitro and in-vivo studies. Propolis should be extracted with different compounds for use in biological assays. The most commonly used compounds for extraction are ethanol, methanol, oil and water. A number of studies have been carried out showing the antitumor effect of propolis in cell culture and animal tests. The search for new drugs derived from natural products, which may function as chemotherapeutic agents and have low side effects, has increased in recent years. Combination with antioxidant therapy may improve the side effects of chemotherapy on leukocytes, liver and kidney, thus increasing the effect of chemotherapy with dose increase.