Leong, K.-Y. and See, S. and Lim, J.-W. and Bashir, M.J.K. and Ng, C.-A. and Tham, L. (2017) Effect of process variables interaction on simultaneous adsorption of phenol and 4-chlorophenol: statistical modeling and optimization using RSM. Applied Water Science, 7 (4). pp. 2009-2020. ISSN 21905487
Full text not available from this repository.Abstract
Results of the interaction of process variables and the consequential mixture of phenolic compounds adsorption study are expected to shed brighter light on the wastewater treatment applications. Accordingly, the aims of this research are to model and optimize the process variables which impinged on the simultaneous adsorption of phenol and 4-chlorophenol (4-CP) in the binary solution by spherical activated carbon (SAC). Batch assessments were designed using response surface methodology software. The process variables, namely SAC dosage and pH were varied over the 1.50�3.50 g/L and 4.00�9.00 g/L ranges, respectively, were experimented. The analysis of variance results showed the significant models could precisely predict the percentage removals of phenol and 4-CP, indicating models reliability. The interaction of process variables was inconspicuous for the case of phenol adsorption. However, increasing the pH would deteriorate the 4-CP adsorption which was partially offset by raising the SAC dosage. Considering the environmental benefits, optimization taken place at the SAC dosage and pH of 3.50 g/L and 7.60 g/L, respectively, was selected. By employing the optimized conditions of SAC dosage of 3.50 g/L at pH 7.60 for the adsorption process, the predicted phenol and 4-CP removal percentages were found to be 85.4 (73.1 mg/g) and 96.2 (82.6 mg/g), respectively, which were in agreement with the experimental runs. © 2016, The Author(s).
Item Type: | Article |
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Additional Information: | cited By 32 |
Uncontrolled Keywords: | Activated carbon; Activated carbon treatment; Phenols; Reliability analysis; Wastewater treatment, 4-chlorophenols; Adsorption of phenol; Binary solutions; Modeling; Optimisations; Process Variables; Simultaneous adsorption; Spherical activated carbons; Statistic modeling; Variable interaction, Adsorption, activated carbon; adsorption; chlorophenol; experimental study; modeling; optimization; phenol; phenolic compound |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:20 |
Last Modified: | 09 Nov 2023 16:20 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/8551 |