Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil
This current study focuses on the modelling and optimization of supercritical fluid extractionof Quercusinfectoriagalls oil. In this case, response surface methodology (RSM) and artificial neural network (ANN) were applied for the modelling and prediction of extraction yield of...
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Teknologi Malaysia
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45704/1/MANJA.pdf |
| _version_ | 1825929590960291840 |
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| author | Md Salleh, Liza Rosland Abel, Stashia Eleaness Zahedi, Gholamreza Abd Rahman, Russly Mohd Nasir, Hasmida Syed Faua'ad, Syed Anuar |
| author_facet | Md Salleh, Liza Rosland Abel, Stashia Eleaness Zahedi, Gholamreza Abd Rahman, Russly Mohd Nasir, Hasmida Syed Faua'ad, Syed Anuar |
| author_sort | Md Salleh, Liza |
| collection | UPM |
| description | This current study focuses on the modelling and optimization of supercritical fluid extractionof Quercusinfectoriagalls oil. In this case, response surface methodology (RSM) and artificial neural network (ANN) were applied for the modelling and prediction of extraction yield of galls oil. A 17-run Box-Behnken Design (BBD) was employed to statistically optimize the process parameters of SC-CO2extraction of Quercusinfectoriagalls at a condition as follows: pressure (5000, 6000, 7000 Psi), temperature (40, 50, 60°C) and extraction time (30, 45, 60 min). The maximum yield of the extracted oil is1.12 % and the optimum conditions are at an extraction pressure of 5574 Psi; extraction temperature of 75°C and extraction time of 54 min. Under the optimal conditions, the experimental results agree with the predicted values obtained through analysis of variance (ANOVA). This indicates a successful response surface methodology and highly satisfactory goodness of fit of the model used. The analysis of experimental design for process optimization results demonstrates that temperature and extraction time are the main parameters that influence the oil extraction of Quercusinfectoria. |
| first_indexed | 2024-03-06T08:58:58Z |
| format | Article |
| id | upm.eprints-45704 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:58:58Z |
| publishDate | 2015 |
| publisher | Penerbit Universiti Teknologi Malaysia |
| record_format | dspace |
| spelling | upm.eprints-457042021-04-15T02:27:45Z http://psasir.upm.edu.my/id/eprint/45704/ Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil Md Salleh, Liza Rosland Abel, Stashia Eleaness Zahedi, Gholamreza Abd Rahman, Russly Mohd Nasir, Hasmida Syed Faua'ad, Syed Anuar This current study focuses on the modelling and optimization of supercritical fluid extractionof Quercusinfectoriagalls oil. In this case, response surface methodology (RSM) and artificial neural network (ANN) were applied for the modelling and prediction of extraction yield of galls oil. A 17-run Box-Behnken Design (BBD) was employed to statistically optimize the process parameters of SC-CO2extraction of Quercusinfectoriagalls at a condition as follows: pressure (5000, 6000, 7000 Psi), temperature (40, 50, 60°C) and extraction time (30, 45, 60 min). The maximum yield of the extracted oil is1.12 % and the optimum conditions are at an extraction pressure of 5574 Psi; extraction temperature of 75°C and extraction time of 54 min. Under the optimal conditions, the experimental results agree with the predicted values obtained through analysis of variance (ANOVA). This indicates a successful response surface methodology and highly satisfactory goodness of fit of the model used. The analysis of experimental design for process optimization results demonstrates that temperature and extraction time are the main parameters that influence the oil extraction of Quercusinfectoria. Penerbit Universiti Teknologi Malaysia 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45704/1/MANJA.pdf Md Salleh, Liza and Rosland Abel, Stashia Eleaness and Zahedi, Gholamreza and Abd Rahman, Russly and Mohd Nasir, Hasmida and Syed Faua'ad, Syed Anuar (2015) Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil. Jurnal Teknologi, 74 (7). pp. 79-86. ISSN 0127-9696; ESSN: 2180-3722 https://journals.utm.my/jurnalteknologi/article/view/4703 |
| spellingShingle | Md Salleh, Liza Rosland Abel, Stashia Eleaness Zahedi, Gholamreza Abd Rahman, Russly Mohd Nasir, Hasmida Syed Faua'ad, Syed Anuar Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil |
| title | Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil |
| title_full | Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil |
| title_fullStr | Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil |
| title_full_unstemmed | Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil |
| title_short | Optimization of supercritical carbon dioxide extraction of Quercus infectoria oil |
| title_sort | optimization of supercritical carbon dioxide extraction of quercus infectoria oil |
| url | http://psasir.upm.edu.my/id/eprint/45704/1/MANJA.pdf |
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