Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil Expeller
The extraction process of peanut oil has been a major concern for local processors due to the difficult task it constitutes during processing. The use of oil expellers has been found to reduce the difficulty in this task yet different processing factors tend to affect the efficiency of those oil exp...
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| Format: | Article |
| Language: | English |
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Turkish Science and Technology Publishing (TURSTEP)
2022-04-01
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| Series: | Turkish Journal of Agriculture: Food Science and Technology |
| Subjects: | |
| Online Access: | http://www.agrifoodscience.com/index.php/TURJAF/article/view/4815 |
| _version_ | 1797907324191375360 |
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| author | Oluwafemi Emmanuel Ogundahunsi Ayokunle Oluwasanmi Fagunwa Adedayo Thomas Ayorinde |
| author_facet | Oluwafemi Emmanuel Ogundahunsi Ayokunle Oluwasanmi Fagunwa Adedayo Thomas Ayorinde |
| author_sort | Oluwafemi Emmanuel Ogundahunsi |
| collection | DOAJ |
| description | The extraction process of peanut oil has been a major concern for local processors due to the difficult task it constitutes during processing. The use of oil expellers has been found to reduce the difficulty in this task yet different processing factors tend to affect the efficiency of those oil expellers. In this study, the optimum peanut oil processing factors and their interaction were investigated using Response Surface Methodology (RSM) with fractional factorial design (33) model of Central Composite Design (CCD). Processing factors such as Moisture Content (10, 12, and 14% db), Peanut Temperature (50, 65, and 80°C), and Water Quantity added during extraction (12, 14, and 16 ml). This aimed at providing the optimum parameter needed to obtain the optimum oil yield using a peanut oil expeller. From this study, it was observed that all three factors considered affecting the oil yield of peanuts during extraction. Only water quantity added during extraction is statistically different. The optimum condition of the oil extraction processing parameter was observed at 50oC, 10 db, and 120 ml. The correlation coefficient (R-squared) of the model analysis was found to be 0.8901. |
| first_indexed | 2024-04-10T10:34:53Z |
| format | Article |
| id | doaj.art-be666cb312b04f46887934ed1be9d971 |
| institution | Directory Open Access Journal |
| issn | 2148-127X |
| language | English |
| last_indexed | 2024-04-10T10:34:53Z |
| publishDate | 2022-04-01 |
| publisher | Turkish Science and Technology Publishing (TURSTEP) |
| record_format | Article |
| series | Turkish Journal of Agriculture: Food Science and Technology |
| spelling | doaj.art-be666cb312b04f46887934ed1be9d9712023-02-15T16:20:54ZengTurkish Science and Technology Publishing (TURSTEP)Turkish Journal of Agriculture: Food Science and Technology2148-127X2022-04-0110466366810.24925/turjaf.v10i4.663-668.48152446Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil ExpellerOluwafemi Emmanuel Ogundahunsi0Ayokunle Oluwasanmi Fagunwa1Adedayo Thomas Ayorinde2Agricultural Engineering Department, Faculty of Engineering and Technology, First Technical University, Ibadan2Department of Project Design and Development, Federal Institute of Industrial Research Oshodi, Lagos3National Biotechnology Development Agency, Abuja,The extraction process of peanut oil has been a major concern for local processors due to the difficult task it constitutes during processing. The use of oil expellers has been found to reduce the difficulty in this task yet different processing factors tend to affect the efficiency of those oil expellers. In this study, the optimum peanut oil processing factors and their interaction were investigated using Response Surface Methodology (RSM) with fractional factorial design (33) model of Central Composite Design (CCD). Processing factors such as Moisture Content (10, 12, and 14% db), Peanut Temperature (50, 65, and 80°C), and Water Quantity added during extraction (12, 14, and 16 ml). This aimed at providing the optimum parameter needed to obtain the optimum oil yield using a peanut oil expeller. From this study, it was observed that all three factors considered affecting the oil yield of peanuts during extraction. Only water quantity added during extraction is statistically different. The optimum condition of the oil extraction processing parameter was observed at 50oC, 10 db, and 120 ml. The correlation coefficient (R-squared) of the model analysis was found to be 0.8901.http://www.agrifoodscience.com/index.php/TURJAF/article/view/4815peanutoilextractionexpellerkuli-kuli |
| spellingShingle | Oluwafemi Emmanuel Ogundahunsi Ayokunle Oluwasanmi Fagunwa Adedayo Thomas Ayorinde Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil Expeller Turkish Journal of Agriculture: Food Science and Technology peanut oil extraction expeller kuli-kuli |
| title | Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil Expeller |
| title_full | Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil Expeller |
| title_fullStr | Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil Expeller |
| title_full_unstemmed | Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil Expeller |
| title_short | Random Surface Methodology: Process Optimization for Peanut Oil Extraction in A Mechanical Oil Expeller |
| title_sort | random surface methodology process optimization for peanut oil extraction in a mechanical oil expeller |
| topic | peanut oil extraction expeller kuli-kuli |
| url | http://www.agrifoodscience.com/index.php/TURJAF/article/view/4815 |
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