Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol
Modeling of adsorption process establishes mathematical relationship between the interacting process variables and process optimization is important in determining the values of factors for which the response is at maximum. In this paper, response surface methodology was employed for the modeling an...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/278075 |
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| author | Y. S. Mohammad E. M. Shaibu-Imodagbe S. B. Igboro A. Giwa C. A. Okuofu |
| author_facet | Y. S. Mohammad E. M. Shaibu-Imodagbe S. B. Igboro A. Giwa C. A. Okuofu |
| author_sort | Y. S. Mohammad |
| collection | DOAJ |
| description | Modeling of adsorption process establishes mathematical relationship between the interacting process variables and process optimization is important in determining the values of factors for which the response is at maximum. In this paper, response surface methodology was employed for the modeling and optimization of adsorption of phenol onto rice husk activated carbon. Among the action variables considered are activated carbon pretreatment temperature, adsorbent dosage, and initial concentration of phenol, while the response variables are removal efficiency and adsorption capacity. Regression analysis was used to analyze the models developed. The outcome of this research showed that 99.79% and 99.81% of the variations in removal efficiency and adsorption capacity, respectively, are attributed to the three process variables considered, that is, pretreatment temperature, adsorbent dosage, and initial phenol concentration. Therefore, the models can be used to predict the interaction of the process variables. Optimization tests showed that the optimum operating conditions for the adsorption process occurred at initial solute concentration of 40.61 mg/L, pretreatment temperature of 441.46°C, adsorbent dosage 4 g, adsorption capacity of 0.9595 mg/g, and removal efficiency of 97.16%. These optimum operating conditions were experimentally validated. |
| format | Article |
| id | doaj-art-0aff576492cf4297993014cc67f28670 |
| institution | Kabale University |
| issn | 2314-4904 2314-4912 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-0aff576492cf4297993014cc67f286702025-02-03T05:44:48ZengWileyJournal of Engineering2314-49042314-49122014-01-01201410.1155/2014/278075278075Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of PhenolY. S. Mohammad0E. M. Shaibu-Imodagbe1S. B. Igboro2A. Giwa3C. A. Okuofu4Department of Water Resources and Environmental Engineering, ABU, Zaria, NigeriaSamaru College of Agriculture, Division of Agricultural Colleges, ABU, Zaria, NigeriaDepartment of Water Resources and Environmental Engineering, ABU, Zaria, NigeriaDepartment of Textile Science and Technology, ABU, Zaria, NigeriaDepartment of Water Resources and Environmental Engineering, ABU, Zaria, NigeriaModeling of adsorption process establishes mathematical relationship between the interacting process variables and process optimization is important in determining the values of factors for which the response is at maximum. In this paper, response surface methodology was employed for the modeling and optimization of adsorption of phenol onto rice husk activated carbon. Among the action variables considered are activated carbon pretreatment temperature, adsorbent dosage, and initial concentration of phenol, while the response variables are removal efficiency and adsorption capacity. Regression analysis was used to analyze the models developed. The outcome of this research showed that 99.79% and 99.81% of the variations in removal efficiency and adsorption capacity, respectively, are attributed to the three process variables considered, that is, pretreatment temperature, adsorbent dosage, and initial phenol concentration. Therefore, the models can be used to predict the interaction of the process variables. Optimization tests showed that the optimum operating conditions for the adsorption process occurred at initial solute concentration of 40.61 mg/L, pretreatment temperature of 441.46°C, adsorbent dosage 4 g, adsorption capacity of 0.9595 mg/g, and removal efficiency of 97.16%. These optimum operating conditions were experimentally validated.http://dx.doi.org/10.1155/2014/278075 |
| spellingShingle | Y. S. Mohammad E. M. Shaibu-Imodagbe S. B. Igboro A. Giwa C. A. Okuofu Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol Journal of Engineering |
| title | Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol |
| title_full | Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol |
| title_fullStr | Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol |
| title_full_unstemmed | Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol |
| title_short | Modeling and Optimization for Production of Rice Husk Activated Carbon and Adsorption of Phenol |
| title_sort | modeling and optimization for production of rice husk activated carbon and adsorption of phenol |
| url | http://dx.doi.org/10.1155/2014/278075 |
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