The use of mechanical pressing is thought to be a suitable method for small and medium-sized farmers in developing nations, due to its reduced initial and ongoing expenses when compared to the use of a screw press and a solvent expression procedure. A combined roaster-expelling machine was used in the study to examine the effects of applied pressure, moisture content, and roasting temperature on the oil output of groundnut seeds. A 33 box – benken design was used for the experiment. Moisture content, roasting temperature, and pressure applied were experimental variables that affected oil yield. Using the response surface analysis method, the experiment's parameters were optimized. Data analysis shows that all the variables significantly affected the oil yield at 95% confidence level. The optimum conditions of the independent variables for the oil yield were determined at, moisture content 6%, roasting temperature 110°C and applied pressure 25 Mpa at corresponding oil yield of 24.5%. Also, the R2 and R2 adj. value of 0.9561 and 0.3432 respectively indicated that the regression model was a good one and verification experiment confirmed the validity of the predicted model. The experimental values were not significantly distinct from the expected values at p0.05, although they were extremely close to them. The developed regression model has served as a foundation for choosing the best process variables for the recovery of oil while using a combination roaster and melon seed expression machine.
| Published in | Engineering Science (Volume 9, Issue 1) |
| DOI | 10.11648/j.es.20240901.12 |
| Page(s) | 6-11 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2024. Published by Science Publishing Group |
Groundnut Seed, Expression, Box Benken Design, Response Surface Methodology, Optimization, Oil Yield
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APA Style
Balogun, A., Iyalabani, K. A., Uthman, F., Olarinoye, S. B. (2024). Optimization of Some Selected Processing Parameters on Oil Yield from Developed Oil Expeller for Groundnut (Arachishypogaea) Seeds. Engineering Science, 9(1), 6-11. https://doi.org/10.11648/j.es.20240901.12
ACS Style
Balogun, A.; Iyalabani, K. A.; Uthman, F.; Olarinoye, S. B. Optimization of Some Selected Processing Parameters on Oil Yield from Developed Oil Expeller for Groundnut (Arachishypogaea) Seeds. Eng. Sci. 2024, 9(1), 6-11. doi: 10.11648/j.es.20240901.12
AMA Style
Balogun A, Iyalabani KA, Uthman F, Olarinoye SB. Optimization of Some Selected Processing Parameters on Oil Yield from Developed Oil Expeller for Groundnut (Arachishypogaea) Seeds. Eng Sci. 2024;9(1):6-11. doi: 10.11648/j.es.20240901.12
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Download@article{10.11648/j.es.20240901.12,
author = {Abdullateef Balogun and Kamaru Alaba Iyalabani and Faoiyyah Uthman and Segun Bamidele Olarinoye},
title = {Optimization of Some Selected Processing Parameters on Oil Yield from Developed Oil Expeller for Groundnut (Arachishypogaea) Seeds},
journal = {Engineering Science},
volume = {9},
number = {1},
pages = {6-11},
doi = {10.11648/j.es.20240901.12},
url = {https://doi.org/10.11648/j.es.20240901.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.es.20240901.12},
abstract = {The use of mechanical pressing is thought to be a suitable method for small and medium-sized farmers in developing nations, due to its reduced initial and ongoing expenses when compared to the use of a screw press and a solvent expression procedure. A combined roaster-expelling machine was used in the study to examine the effects of applied pressure, moisture content, and roasting temperature on the oil output of groundnut seeds. A 33 box – benken design was used for the experiment. Moisture content, roasting temperature, and pressure applied were experimental variables that affected oil yield. Using the response surface analysis method, the experiment's parameters were optimized. Data analysis shows that all the variables significantly affected the oil yield at 95% confidence level. The optimum conditions of the independent variables for the oil yield were determined at, moisture content 6%, roasting temperature 110°C and applied pressure 25 Mpa at corresponding oil yield of 24.5%. Also, the R2 and R2 adj. value of 0.9561 and 0.3432 respectively indicated that the regression model was a good one and verification experiment confirmed the validity of the predicted model. The experimental values were not significantly distinct from the expected values at p0.05, although they were extremely close to them. The developed regression model has served as a foundation for choosing the best process variables for the recovery of oil while using a combination roaster and melon seed expression machine.},
year = {2024}
}
TY - JOUR T1 - Optimization of Some Selected Processing Parameters on Oil Yield from Developed Oil Expeller for Groundnut (Arachishypogaea) Seeds AU - Abdullateef Balogun AU - Kamaru Alaba Iyalabani AU - Faoiyyah Uthman AU - Segun Bamidele Olarinoye Y1 - 2024/01/08 PY - 2024 N1 - https://doi.org/10.11648/j.es.20240901.12 DO - 10.11648/j.es.20240901.12 T2 - Engineering Science JF - Engineering Science JO - Engineering Science SP - 6 EP - 11 PB - Science Publishing Group SN - 2578-9279 UR - https://doi.org/10.11648/j.es.20240901.12 AB - The use of mechanical pressing is thought to be a suitable method for small and medium-sized farmers in developing nations, due to its reduced initial and ongoing expenses when compared to the use of a screw press and a solvent expression procedure. A combined roaster-expelling machine was used in the study to examine the effects of applied pressure, moisture content, and roasting temperature on the oil output of groundnut seeds. A 33 box – benken design was used for the experiment. Moisture content, roasting temperature, and pressure applied were experimental variables that affected oil yield. Using the response surface analysis method, the experiment's parameters were optimized. Data analysis shows that all the variables significantly affected the oil yield at 95% confidence level. The optimum conditions of the independent variables for the oil yield were determined at, moisture content 6%, roasting temperature 110°C and applied pressure 25 Mpa at corresponding oil yield of 24.5%. Also, the R2 and R2 adj. value of 0.9561 and 0.3432 respectively indicated that the regression model was a good one and verification experiment confirmed the validity of the predicted model. The experimental values were not significantly distinct from the expected values at p0.05, although they were extremely close to them. The developed regression model has served as a foundation for choosing the best process variables for the recovery of oil while using a combination roaster and melon seed expression machine. VL - 9 IS - 1 ER -
Department of Agricultural Engineering, Faculty of Engineering and Technology, Ladoke Akintola University of Technology, Ogbomoso, Nigeria
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