1Department of Mechanical Engineering, Usmanu Danfodiyo University Sokoto, Nigeria
2Department of Chemical Engineering, Ahmadu Bello University Zaria, Nigeria
3Department of Food Science, Kaura Namoda Polytechnic, Zamfara, Nigeria
BibTex Citation Data :
@article{JCERP20708, author = {Ismail Abubakar Jumare and Omuya Raheem Momoh and Sani Abubakar Jumare}, title = {Parametric Optimization of Solvent Extraction of Soybean Oil}, journal = {Journal of Chemical Engineering Research Progress}, volume = {3}, number = {2}, year = {2026}, keywords = {Optimization; Solvent extraction; Soxhlet apparatus; Soybean; Statistical analysis}, abstract = { Edible oil extraction via favorable conditions is central to industrial growth and sustainability. This paper investigates the optimum conditions for the soybean oil extraction via solid-liquid or leaching mechanism. This was done by varying parameters viz. the solvent concentration, temperature, and time of extraction using a soxhlet apparatus in a water bath. The oil characterization was also carried out focusing on some physic-chemical properties. Statistical analysis was lastly carried out on different parameters of the oil extraction in view of correlation or statistical significance test using Analysis of Variance (ANOVA). Results showed the highest percentage yield of the oil as 19.25 wt. % with the optimum conditions being 180 minutes of extraction, 70 o C, and 300 mL n-hexane. The statistical significance evaluation showed F values of 6545.26, 63.07, 272.65, and 38.75 for soy cake weight loss with corresponding moisture content, variations in solvent extraction, temperature and time with their corresponding oil yields respectively, all greater than their critical F values. However, the F value determined for the sets of oil yield for the 3 parametric variations being 1.21, was found to be less than its critical F value. Hence, these conditions are useful in maximizing soybean oil production at best possible cost. Also, the statistically significant evidence exists from the robust data analysis to show clear relationship on all the tested parametric variations for the oil extraction with their corresponding oil yields. Copyright © 2026 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group. This is an open access article under the CC BY-SA License ( https://creativecommons.org/licenses/by-sa/4.0 ). }, issn = {3032-7059}, pages = {181--190} doi = {10.9767/jcerp.20708}, url = {https://journal.bcrec.id/index.php/jcerp/article/view/20708} }
Refworks Citation Data :
Edible oil extraction via favorable conditions is central to industrial growth and sustainability. This paper investigates the optimum conditions for the soybean oil extraction via solid-liquid or leaching mechanism. This was done by varying parameters viz. the solvent concentration, temperature, and time of extraction using a soxhlet apparatus in a water bath. The oil characterization was also carried out focusing on some physic-chemical properties. Statistical analysis was lastly carried out on different parameters of the oil extraction in view of correlation or statistical significance test using Analysis of Variance (ANOVA). Results showed the highest percentage yield of the oil as 19.25 wt. % with the optimum conditions being 180 minutes of extraction, 70 oC, and 300 mL n-hexane. The statistical significance evaluation showed F values of 6545.26, 63.07, 272.65, and 38.75 for soy cake weight loss with corresponding moisture content, variations in solvent extraction, temperature and time with their corresponding oil yields respectively, all greater than their critical F values. However, the F value determined for the sets of oil yield for the 3 parametric variations being 1.21, was found to be less than its critical F value. Hence, these conditions are useful in maximizing soybean oil production at best possible cost. Also, the statistically significant evidence exists from the robust data analysis to show clear relationship on all the tested parametric variations for the oil extraction with their corresponding oil yields. Copyright © 2026 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
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The Journal of Chemical Engineering Research Progress is published by UPT Laboratorium Terpadu Universitas Diponegoro jointly with Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS) Publisher. The technical management of the JCERP journal is supported by with BCREC Publishing Group.
