2019
DOI: 10.1007/s13201-019-0943-7
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Application of response surface methodology for optimization of dissolved solids adsorption by activated coal

Abstract: The adsorptive removal of total dissolved solids by activated coal using response surface methodology was investigated. A four-variable central composite experimental design was applied to correlate the adsorption variables (effluent pH, adsorbent dosage, contact time, and adsorption temperature). The adsorption variables were optimized based on the removal of total dissolved solids from fibre cement industry effluent. Three-dimensional surface plots were generated to estimate the effect of the combinations of… Show more

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Cited by 45 publications
(20 citation statements)
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“…They are in contrast with results suggested by other studies. Which found that adsorption efficiency increased as both the pH and adsorption time increased up to a point and then decreased (Hameed et al 2008;Ani et al, 2019).…”
Section: Response Surface Plotsmentioning
confidence: 96%
See 1 more Smart Citation
“…They are in contrast with results suggested by other studies. Which found that adsorption efficiency increased as both the pH and adsorption time increased up to a point and then decreased (Hameed et al 2008;Ani et al, 2019).…”
Section: Response Surface Plotsmentioning
confidence: 96%
“…With time, the adsorbent sites may be obstructed. That being so, the equilibrium was reached when the totality of surface area was blocked (Ani et al, 2019).…”
Section: Response Surface Plotsmentioning
confidence: 97%
“…Since second-order polynomial regression model equation is known to be best suited for CCB (Anupam et al, 2011;Ackay and Anagun, 2013;Daoud et al, 2015;Sada, 2018;Ani et al, 2019), the removal efficiency of Pb 2+ was therefore represented in terms of the independent variables as:…”
Section: Optimization Of Operating Conditions For Pb 2+ Removalmentioning
confidence: 99%
“…The coefficient of determination R 2 was found to be 0.99 indicating that the predicting response of the model is good. 41,42 Regression model and analysis of variance (ANOVA)…”
Section: Morphological Studiesmentioning
confidence: 99%