Research Article
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Comparative Investigation of n-Hexane and Ethanol Solvents Used in Eleais guinesis Kernel Oil Extraction and Optimization via Two Computational Modelling

Year 2022, , 15 - 30, 30.06.2022
https://doi.org/10.46592/turkager.1004551

Abstract

The global usages of oil seed products are on high demand; which gave rise to the need to optimize the extraction of Elaeis guinness kernel oil. This work investigated the performance of n-hexane and ethanol as solvents for extraction and optimization of Elaeis guinesis kernel oil via Response System Methodology (RSM) and Artificial Neural Networks (ANNs) computational modeling. The 5 days sun-dried Elaeis guinesis Seeds collected were crushed, the oil was extracted from the powdered seed using a Soxhlet extractor, with n-hexane and ethanol as solvents. The result analyzed by average computation of 40min extraction time, 175 ml solvents, and 50g sample weight for both solvents shown that the average oil yield for n-hexane is 38.15% (w w-1) and 28.83% (w w-1) for ethanol. At the box-Behnken experimental design having the same averaged independent variables, the average predicted values of: RSM is 35.21; ANNs is 37.21 for n-hexane solvent, while for ethanol solvent, the average predicted values of: ANNs is 31.118; RSM is 30.80. The coefficients of determination (R2) for RSM were 99.94% for n-hexane and 99.89% (w w-1) for ethanol, and ANN has 99.99% (w w-1) for n-hexane and 99.899% (w w-1). As a result; n-hexane is better than ethanol in term of oil extraction, ANNs has higher predicted values for optimization in both solvents, therefore it is a better model for oil’s optimization, it further proved that both models can be used adequately to represent the actual relationship of the chosen factors which can be applied for optimization simultaneously.

Supporting Institution

Akwa Ibom State University Laboratory, Nigeria

Project Number

0004

Thanks

After obtaining the plagiarism test result, the manuscript was edited to remove/ reduce the level of plagiarism to the barest minimum, which is practically lower than 20% as required by your journal

References

  • Abraham G, Heron RJ and Koltun SP (1988). Modeling the solvent extraction of oilseeds. Journal of the American Oil Chemists’ Society, 65: 129-135.
  • Ahmadpour A, Haghighi A and Fallah N (2018) Investigation of spent caustic wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor. Iranian Journal of Chemic Engineering, 15: 49-72.
  • Akintayo ET and Bayer E (2002). Characterization and some possible uses of Plukenetia conophora and Adenopus breviflorus seeds and seed oils. Bioresource Technology, 85: 95-97.
  • Alander I (2004). Palm Kernel Oil. A multifunctional ingredient for good and cosmetics. Lipid Technology, 16(9): 2002-2005.
  • Awolusi TF, Oke OL, Akinkurolere OO, Sojobi AO and Aluko OG (2019) Performance comparison of neural network training algorithms in the modeling properties of steel fiber reinforced concrete. Helion, 5: e01115.
  • Baker E.C, Sullivan, D.A, (1983). Development of a pilot-plant process for the extraction of flakes with aqueous isopropyl alcohol. Journal of the American Oil Chemists’ Society, 60: 1271-1277.
  • Berger KG (1992). Food uses of palm oil. Kuala Lumpur. Bulletin Perkebunan, Vol.22: 230
  • Box GEP and Draper N. (1987). Empirical model-building and response surfaces, Willey University.
  • Capello C, Fischer U and Hungerbühler KJ (2007). What is a green solvent? A comprehensive framework for the environmental assessment of solvents. Green Chemistry, 9(9): 927-934.
  • Castelli WP (1992). Editorial: Concerning the possibility of a nut. Archives of Internal Medicine, 152: 1371-1372.
  • Chandrasekharan N, Sundram K and Basiron Y (2000). Changing nutritional and health perspectives on palm oil. Brunei International Medical Journal, 2: 417-427.
  • Chow CK (1992). Fatty Acids in Foods and their Health Implications. New York: Marcel Dekker Inc., pp. 237-262.
  • Clarke R, Frost C, Collins R, Appleby P, Peto R (1997). Dietary lipids and blood cholesterol: quantitative analysis is metabolic ward studies. British Medical Journal, 314: 112-117.
  • Connerton EJ, Wan PJ and Richard OA (1995). Hexane and heptane as extraction solvents for cottonseed: a laboratory-scale study. Journal of the American Oil Chemists’ Society, 72: 963-965.
  • Cottrell RC (1991). Introduction nutritional aspects of palm oil. American Journal of Clinical Nutrition, 53: 989S-1009S.
  • Gendy TS, Ghoneim A and Zakhary AS (2020). Comparative appraisal of response surface methodology and artificial neural network method for stabilized turbulent confined jet diffusion flames using bluff-body burners. World Journal of Engineering and Technology, 8: 121-143.
  • Ijaola OO and Adepoju TF (2021a) Optimization of oil extraction from moringa olifera seed to ameliorate oil consumption deficiency. International Journal of Engineering and Modern Technology, 7(1): 8-18.
  • Ijaola OO and Adepoju TF (2021b). Optimizing Elaeis guinesis kernel oil extraction using N-hexane solvent and physicochemical characterization of the extracted oil for global utilization. Indian Journal of Engineering, 18(50): 365-374.
  • Imoisi OB, Ilori GE, Agho I and Ekhator JO (2015). Palm oil, its nutritional and health implications (Review), Journal of Applied Sciences and Environmental Management, 19.
  • Jin Q, Zhang T and Shanl (2008). Palm kernel oil extraction. Oil Chemical Society, 85: 23-28.
  • Karmoker JR, Hasan, I, Ahmed N, Saifuddin M, Reza MS (2019). Development and optimization of acyclovir loaded mucoadhesive microspheres by Box -Behnken design. Dhaka University Journal of Pharmaceutical Sciences. 18(1): 1-12.
  • Manda A, Walker R and Khamanga S (2019). An artificial neural network approach to predict the effects of formulation and process variables on prednisone release from a multipartite system. Pharmaceutic, 11: 109.
  • Najafi B, Sina FA, Amir M, Shahaboddin S, and Timon R (2019). An intelligent artificial neural network-response surface methodology method for accessing the optimum biodiesel and diesel fuel blending conditions in a diesel engine from the viewpoint of exergy and energy analysis. Energies, 11, 860.
  • Osman H, Ihab S, and Amir A (2019). Multiple modeling techniques for assessing sesame oil extraction under various operating conditions and solvents. Foods, 8: 14.
  • Otti VI, Ifeanyichukwu HI, Nwaorum FC and Ogbuagu FU (2014). Sustainable oil palm waste management in engineering development. Civil and Environmental Research, 6(5).
  • Poku K (2002). Origin of oil palm. Small-scale palm oil processing in Africa. FAO Agricultural Services Bulletin 148. Food and Agriculture Organization. p.3.
  • Selvan SS, Saravana PP, Subathira A, and Saravanan S (2018). Comparison of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) in optimization of aeglemarmelos oil extraction for biodiesel production. Arabian Journal for Science and Engineering, 43: 6119-6131.
  • Senior J, Domínguez H, Núñez, MJ, Lema JM (1998). Ethanolic extraction of sunflower oil in a pulsing extractor. Journal of the American Oil Chemists’ Society, 75: 753-754.
  • Suzana F, Dina G and José MF (2003). Comparison between ethanol and hexane for oil extraction from Quercus suber L. fruits Grasas y Aceites, 54(4): 378-383.
  • Wan PJ, Hron RJ Sr, Dowd MK, Kuk MS and Conkerton EJ (1995a). Alternative hydrocarbon solvents for cottonseed extraction: Plant trials. Journal of the American Oil Chemists’ Society, 72: 661-664.
Year 2022, , 15 - 30, 30.06.2022
https://doi.org/10.46592/turkager.1004551

Abstract

Project Number

0004

References

  • Abraham G, Heron RJ and Koltun SP (1988). Modeling the solvent extraction of oilseeds. Journal of the American Oil Chemists’ Society, 65: 129-135.
  • Ahmadpour A, Haghighi A and Fallah N (2018) Investigation of spent caustic wastewater treatment through response surface methodology and artificial neural network in a photocatalytic reactor. Iranian Journal of Chemic Engineering, 15: 49-72.
  • Akintayo ET and Bayer E (2002). Characterization and some possible uses of Plukenetia conophora and Adenopus breviflorus seeds and seed oils. Bioresource Technology, 85: 95-97.
  • Alander I (2004). Palm Kernel Oil. A multifunctional ingredient for good and cosmetics. Lipid Technology, 16(9): 2002-2005.
  • Awolusi TF, Oke OL, Akinkurolere OO, Sojobi AO and Aluko OG (2019) Performance comparison of neural network training algorithms in the modeling properties of steel fiber reinforced concrete. Helion, 5: e01115.
  • Baker E.C, Sullivan, D.A, (1983). Development of a pilot-plant process for the extraction of flakes with aqueous isopropyl alcohol. Journal of the American Oil Chemists’ Society, 60: 1271-1277.
  • Berger KG (1992). Food uses of palm oil. Kuala Lumpur. Bulletin Perkebunan, Vol.22: 230
  • Box GEP and Draper N. (1987). Empirical model-building and response surfaces, Willey University.
  • Capello C, Fischer U and Hungerbühler KJ (2007). What is a green solvent? A comprehensive framework for the environmental assessment of solvents. Green Chemistry, 9(9): 927-934.
  • Castelli WP (1992). Editorial: Concerning the possibility of a nut. Archives of Internal Medicine, 152: 1371-1372.
  • Chandrasekharan N, Sundram K and Basiron Y (2000). Changing nutritional and health perspectives on palm oil. Brunei International Medical Journal, 2: 417-427.
  • Chow CK (1992). Fatty Acids in Foods and their Health Implications. New York: Marcel Dekker Inc., pp. 237-262.
  • Clarke R, Frost C, Collins R, Appleby P, Peto R (1997). Dietary lipids and blood cholesterol: quantitative analysis is metabolic ward studies. British Medical Journal, 314: 112-117.
  • Connerton EJ, Wan PJ and Richard OA (1995). Hexane and heptane as extraction solvents for cottonseed: a laboratory-scale study. Journal of the American Oil Chemists’ Society, 72: 963-965.
  • Cottrell RC (1991). Introduction nutritional aspects of palm oil. American Journal of Clinical Nutrition, 53: 989S-1009S.
  • Gendy TS, Ghoneim A and Zakhary AS (2020). Comparative appraisal of response surface methodology and artificial neural network method for stabilized turbulent confined jet diffusion flames using bluff-body burners. World Journal of Engineering and Technology, 8: 121-143.
  • Ijaola OO and Adepoju TF (2021a) Optimization of oil extraction from moringa olifera seed to ameliorate oil consumption deficiency. International Journal of Engineering and Modern Technology, 7(1): 8-18.
  • Ijaola OO and Adepoju TF (2021b). Optimizing Elaeis guinesis kernel oil extraction using N-hexane solvent and physicochemical characterization of the extracted oil for global utilization. Indian Journal of Engineering, 18(50): 365-374.
  • Imoisi OB, Ilori GE, Agho I and Ekhator JO (2015). Palm oil, its nutritional and health implications (Review), Journal of Applied Sciences and Environmental Management, 19.
  • Jin Q, Zhang T and Shanl (2008). Palm kernel oil extraction. Oil Chemical Society, 85: 23-28.
  • Karmoker JR, Hasan, I, Ahmed N, Saifuddin M, Reza MS (2019). Development and optimization of acyclovir loaded mucoadhesive microspheres by Box -Behnken design. Dhaka University Journal of Pharmaceutical Sciences. 18(1): 1-12.
  • Manda A, Walker R and Khamanga S (2019). An artificial neural network approach to predict the effects of formulation and process variables on prednisone release from a multipartite system. Pharmaceutic, 11: 109.
  • Najafi B, Sina FA, Amir M, Shahaboddin S, and Timon R (2019). An intelligent artificial neural network-response surface methodology method for accessing the optimum biodiesel and diesel fuel blending conditions in a diesel engine from the viewpoint of exergy and energy analysis. Energies, 11, 860.
  • Osman H, Ihab S, and Amir A (2019). Multiple modeling techniques for assessing sesame oil extraction under various operating conditions and solvents. Foods, 8: 14.
  • Otti VI, Ifeanyichukwu HI, Nwaorum FC and Ogbuagu FU (2014). Sustainable oil palm waste management in engineering development. Civil and Environmental Research, 6(5).
  • Poku K (2002). Origin of oil palm. Small-scale palm oil processing in Africa. FAO Agricultural Services Bulletin 148. Food and Agriculture Organization. p.3.
  • Selvan SS, Saravana PP, Subathira A, and Saravanan S (2018). Comparison of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) in optimization of aeglemarmelos oil extraction for biodiesel production. Arabian Journal for Science and Engineering, 43: 6119-6131.
  • Senior J, Domínguez H, Núñez, MJ, Lema JM (1998). Ethanolic extraction of sunflower oil in a pulsing extractor. Journal of the American Oil Chemists’ Society, 75: 753-754.
  • Suzana F, Dina G and José MF (2003). Comparison between ethanol and hexane for oil extraction from Quercus suber L. fruits Grasas y Aceites, 54(4): 378-383.
  • Wan PJ, Hron RJ Sr, Dowd MK, Kuk MS and Conkerton EJ (1995a). Alternative hydrocarbon solvents for cottonseed extraction: Plant trials. Journal of the American Oil Chemists’ Society, 72: 661-664.
There are 30 citations in total.

Details

Primary Language English
Subjects Agricultural Engineering
Journal Section Research Articles
Authors

Ijaola Opololaoluwa 0000-0001-9733-9892

Project Number 0004
Publication Date June 30, 2022
Submission Date October 4, 2021
Acceptance Date December 15, 2021
Published in Issue Year 2022

Cite

APA Opololaoluwa, I. (2022). Comparative Investigation of n-Hexane and Ethanol Solvents Used in Eleais guinesis Kernel Oil Extraction and Optimization via Two Computational Modelling. Turkish Journal of Agricultural Engineering Research, 3(1), 15-30. https://doi.org/10.46592/turkager.1004551

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