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. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Groundnut Seed, Expression, Box Benken Design, Response Surface Methodology, Optimization, Oil Yield
| [1] | Akinoso, R. (2006). Effects of moisture content, roasting duration andtemperature on yield and quality of palm kernel (Elaeisguineensis) and sesame (sesamumindicum) oils; Ph.D. thesis, University of Ibadan. Nigeria. |
| [2] | Akintunde, A. M., Ajala, S. O., and Betiku, E. (2015). Optimization of Bauhinia monandra seed oil extraction via artificial neural network and Response Surface Methodology; A potential biofuel candidate. Industrial crops and Products; 67: 387394. |
| [3] | Ajao, K. R, Ajimofokan, H. A, and Olaomi, J (2009). Development and Performance Evaluation of a Groundnut oil Expelling Machine New York Science Journal 2(6), 76-77. |
| [4] | Ajibola, O. O., Olowolarafe, O. K., Fasnina, O. O and Adeeko, K. A. (2002). Expression of oil from sesame seeds; Jan. Agric. Eng. 35: 83-88. |
| [5] | Bamgboye A. L and Adejumo, A O. D (2007). Development of a sun Flower oil Expeller Agricultural Engineering International the E. Journal 9: 16. |
| [6] | Bargale, P. C. (1997). Mechanical oil Expression from Selected Oil seeds Under Uniaxial Compression. University of Saskatchewan, Saskatoon, Canada. |
| [7] | Baryeh, E. A. (2011). Effects of palm oil processing parameters on yield; Journal of Food Engineering. 48: 1- 6. |
| [8] | Costa SS, Gariepy Y, Rocha SCS and Raghavan V. (2014). Microwave extraction of mint essential oil – Temperature calibration for the oven. Journal of Food Engineering. 2014; 126: 1-6. |
| [9] | Deli, S., Farah, M. M., Tajul, A. Y. and Wan Nadiah, W. A. (2011). The Effect of Physical Parameters of the Screw Oil Expeller on Oil Yield from Nigella sativa L Seeds. International food research journal Vol 18(4): 1367-1373.. |
| [10] | Fitch-Haumann. B. (1997) mechanical expression capitalizing on solvent – free processing in form 8: 165-174. |
| [11] | Hamzat, K. O and Clarke, B. (1993). Prediction of oil yield from groundnut using the concept of quasi-equilibrium of oil yield. Journal of Agricultural Engineering Research. 55: 79-87. |
| [12] | Kagwacie, O. C and Anozie, N. A. (1995). Effect of processing conditions on solvent extraction of oil from rubber seeds. Journal of Agricultural Technology. 3(1), 31–40. |
| [13] | Martínez ML, Penci MC, Marin MA, Ribota PD andMaestri DM. (2013). Screw press extraction of almond (Prunusdulcis (Miller) D. A. Webb): Oil recovery and oxidative stability. Journal of Food Engineering.; 119: 40–45. |
| [14] | Olaomi J (2008) Design and Construction of a Motorized Groundnut oil Expelling Machine B. Eng Thesis Department of Mechanical Engineering University of Ilorin, Nigeria. |
| [15] | Olaoye J. O. and Busari, R. A. (2017). Optimization of Mechanical Expression of Castor Seeds Oil (Ricinuscommunis) Using Response Surface Methodology. AZOJETE, 13(6): 878-887. |
| [16] | Owolarafe O. K Adegunloye. A. Y Ajibola O. O (2003). The effect of some Processing condition on Oil point Pressure of Locust bean Journal of food Process Engineering 26. 489-497. |
| [17] | Oyinlola A. and Adekoya L. O (2004). Development of a Laboratory Model Screw Process. |
| [18] | Sivala, K., Bhole, N. G. and Mukherjee, R. K. (1992). Effect of moisture on rice bran oil expression. Journal of Agricultural Engineering Resources. 50, 81–91. |
| [19] | Wiensen Born, D, Doddapaneni R. To Stenson K, and Kangas N. (2001). Cooking indices to Predict Screw Press Performance for Cramber seed Journal American Oil Chemist Society 78(5): 467-471. |
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
Share This Article
Twitter
Linked In
Facebook
Copy
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
