Optimization of oil extraction from Carica papaya seedoil: A case of response surface methodology

The primary goal of this research is to determine the optimum value oil and effects operational parameters on physiochemical properties Carica papaya seed oil, such as Mean Molecular mass, viscosity, API, Acid value, Free Fatty (%FFA), Peroxide Saponification Iodine moisture content, Specific gravity, Cetane number Higher Heating (HHV). Respond Surface Methodology (RSM) was used for regression analysis, ANOVA also predict optimal extracted. model created be significant, according results, a quadratic polynomial achieved forecasting extraction procedure. highest yield obtained 23.67% (w/w) at sample weight (55 g) physicochemical extracted provided with obviously reddish brown color, density 955kg/m3, specific gravity 0.9235, content 0.004092% acid 27.974 mg KOH/g, % FFA 13.99, saponification 140.25 KOH/g iodine 93.70, peroxide 56.00 meq O2/kg viscosity 622.1 MPa.S 29.6oC, 82.88, diesel 101.22, (HHV) 29.62325MJ/kg, Mass 399.3, API 21.72, aniline point 466.03. rich in gave high quantity using Method it yielded archived following optimized conditions, g), time (50 min), solvent volume 250 ml, values coefficient determination (R2) RSM 0.9835, respectively. concluded that which can applied major feedstock industries.