%0 Journal Article %1 amabogha_b_2023_8285263 %A Amabogha, B %A Adepoju, T. F %D 2023 %J Global Journal of Engineering and Technology Advances %K Carica oil papaya seed %N 3 %P 051–061 %R 10.30574/gjeta.2023.15.3.0093 %T Optimization of oil extraction from Carica papaya seedoil: A case of response surface methodology %U https://gjeta.com/content/optimization-oil-extraction-carica-papaya-seedoil-case-response-surface-methodology %V 15 %X The primary goal of this research is to determine the optimum value oil and to determine the effects of operational parameters on the physiochemical properties of the Carica papaya seed oil, such as Mean Molecular mass, viscosity, API, Acid value, Free Fatty Acid (%FFA), Peroxide value, Saponification value, Iodine value, moisture content, Specific gravity, Cetane number and Higher Heating value (HHV). Respond Surface Methodology (RSM) was used for regression analysis, ANOVA and to also predict the optimal value for the Carica papaya seed oil extracted. The model was created to be significant, according to the results, and a quadratic polynomial was achieved for forecasting the extraction procedure. The highest yield obtained was 23.67% (w/w) at the sample weight (55 g) the physicochemical properties of the extracted papaya seed oil, provided papaya seed oil with obviously reddish brown color, density 955kg/m3, specific gravity 0.9235, moisture content 0.004092% acid value 27.974 mg KOH/g, % FFA 13.99, saponification value 140.25 mg KOH/g oil, iodine value 93.70, peroxide value 56.00 meq O2/kg oil, viscosity 622.1 MPa.S at 29.6oC, Cetane number 82.88, diesel value 101.22, Higher Heating value, (HHV) 29.62325MJ/kg, Mean Molecular Mass 399.3, API 21.72, aniline point 466.03. The Carica papaya seed is rich in oil and gave a high quantity of oil, using Respond Surface Method it yielded 23.67% (w/w) archived at the following optimized conditions, sample weight (55 g), extraction time (50 min), and solvent volume of 250 ml, the values for coefficient of determination (R2) for RSM 0.9835, respectively. The research concluded that papaya seed oil is rich in oil which can be applied as a major feedstock in industries.

@article{amabogha_b_2023_8285263, abstract = {The primary goal of this research is to determine the optimum value oil and to determine the effects of operational parameters on the physiochemical properties of the Carica papaya seed oil, such as Mean Molecular mass, viscosity, API, Acid value, Free Fatty Acid (%FFA), Peroxide value, Saponification value, Iodine value, moisture content, Specific gravity, Cetane number and Higher Heating value (HHV). Respond Surface Methodology (RSM) was used for regression analysis, ANOVA and to also predict the optimal value for the Carica papaya seed oil extracted. The model was created to be significant, according to the results, and a quadratic polynomial was achieved for forecasting the extraction procedure. The highest yield obtained was 23.67% (w/w) at the sample weight (55 g) the physicochemical properties of the extracted papaya seed oil, provided papaya seed oil with obviously reddish brown color, density 955kg/m3, specific gravity 0.9235, moisture content 0.004092% acid value 27.974 mg KOH/g, % FFA 13.99, saponification value 140.25 mg KOH/g oil, iodine value 93.70, peroxide value 56.00 meq O2/kg oil, viscosity 622.1 MPa.S at 29.6oC, Cetane number 82.88, diesel value 101.22, Higher Heating value, (HHV) 29.62325MJ/kg, Mean Molecular Mass 399.3, API 21.72, aniline point 466.03. The Carica papaya seed is rich in oil and gave a high quantity of oil, using Respond Surface Method it yielded 23.67% (w/w) archived at the following optimized conditions, sample weight (55 g), extraction time (50 min), and solvent volume of 250 ml, the values for coefficient of determination (R2) for RSM 0.9835, respectively. The research concluded that papaya seed oil is rich in oil which can be applied as a major feedstock in industries.}, added-at = {2023-09-15T15:50:41.000+0200}, author = {Amabogha, B and Adepoju, T. F}, biburl = {https://www.bibsonomy.org/bibtex/24fd3bf4ac86414047d8100b796189a57/gjetajournal}, doi = {10.30574/gjeta.2023.15.3.0093}, interhash = {8bd42dae709485910ddb8b6889d4606a}, intrahash = {4fd3bf4ac86414047d8100b796189a57}, issn = {2582-5003}, journal = {{Global Journal of Engineering and Technology Advances}}, keywords = {Carica oil papaya seed}, month = jun, number = 3, pages = {051–061}, timestamp = {2023-09-15T15:50:41.000+0200}, title = {Optimization of oil extraction from Carica papaya seedoil: A case of response surface methodology}, url = {https://gjeta.com/content/optimization-oil-extraction-carica-papaya-seedoil-case-response-surface-methodology}, volume = 15, year = 2023 }