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Optimization of Process Parameters of Soxhlet Extraction Methods for African Locust Bean Oil Yield Using Response Surface Methodology
Subject area: Science,Engineering and Technology · Area of research: Agriculture and food technology
Abstract
African locust bean Oil was extracted using soxhlet extraction method by varying some of the process parameters that affect the yield of oil extracted from oil bearing seeds. The parameters varied include seed moisture content, extraction temperature and extraction time. Response surface methodology was used to design the experimental matrix by using Box-Behnken design in other to achieve the optimum oil yield from African locust bean seed. It was observed that oil yield ranges from 13.58% to 27.98%. The highest percentage oil yield of 27.98% was obtained at moisture content of 12%, temperature of 600C and extraction time of 6hrs. The result obtained was subjected to statistical analysis, a quadratic model was develop and found to be significant (p< 0.0001). The developed model shows predicted R? of 0.8789, which is in reasonable agreement with the adjusted R? of 0.9827 indicating that the model satisfactorily predicted of the oil yield. The optimization result reveals optimum oil yield of 28.556% obtained from Locust Beans at the combination of 6.31706% moisture content, 59.95280C extraction temperature and extraction time of 5.89658hr. The predicted variables obtained were subjected to experimental validation and oil yield of 28.58% was obtained. The validation shows a close value with the predicted value. Results obtained in this study revealed that response surface methodology helps to optimize oil extraction process parameters to achieve optimum oil yield from oil bearing seeds.
Keywords
African locust bean, Box-Behnken Optimization, Process Parameters, Response surface methodology
References
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How to cite this paper
@article{1704965,
author = {Dauda Lasisi, Ogunsola Femi Olasunkanmi, Nasirudeen Ajibola Rufai , Siyanbola Abdullahi Afolabi , Adesope Whaliy},
title = {Optimization of Process Parameters of Soxhlet Extraction Methods for African Locust Bean Oil Yield Using Response Surface Methodology},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {7},
number = {2},
pages = {557-562},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704965.pdf},
abstract = {African locust bean Oil was extracted using soxhlet extraction method by varying some of the process parameters that affect the yield of oil extracted from oil bearing seeds. The parameters varied include seed moisture content, extraction temperature and extraction time. Response surface methodology was used to design the experimental matrix by using Box-Behnken design in other to achieve the optimum oil yield from African locust bean seed. It was observed that oil yield ranges from 13.58% to 27.98%. The highest percentage oil yield of 27.98% was obtained at moisture content of 12%, temperature of 600C and extraction time of 6hrs. The result obtained was subjected to statistical analysis, a quadratic model was develop and found to be significant (p< 0.0001). The developed model shows predicted R? of 0.8789, which is in reasonable agreement with the adjusted R? of 0.9827 indicating that the model satisfactorily predicted of the oil yield. The optimization result reveals optimum oil yield of 28.556% obtained from Locust Beans at the combination of 6.31706% moisture content, 59.95280C extraction temperature and extraction time of 5.89658hr. The predicted variables obtained were subjected to experimental validation and oil yield of 28.58% was obtained. The validation shows a close value with the predicted value. Results obtained in this study revealed that response surface methodology helps to optimize oil extraction process parameters to achieve optimum oil yield from oil bearing seeds.},
keywords = {African locust bean, Box-Behnken Optimization, Process Parameters, Response surface methodology},
month = {August},
}