Competitive adsorption of benzoic acid and p-nitrophenol onto activated carbon: isotherm and breakthrough curves

Three series of batch tests at 25°C were performed to determine the benzoic acid and p-nitrophenol (PNP) binary adsorption isotherms onto GAC in the aqueous solutions and the experimental data were fitted to the extended Langmuir isotherm model successfully. The experimental data and the isotherm mo...

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Bibliographic Details
Published in:Water research (Oxford) 2003-05, Vol.37 (10), p.2347-2356
Main Authors: Chern, Jia-Ming, Chien, Yi-Wen
Format: Article
Language:English
Subjects:
Activated carbon
Adsorption
Applied sciences
Benzoic acid
Benzoic Acid - chemistry
Benzoic Acid - isolation & purification
Breakthrough curve
Carbon - chemistry
Exact sciences and technology
Hydrogen-Ion Concentration
Industrial Waste
Industrial wastewaters
Isotherm
Kinetics
nitrophenols
Nitrophenols - chemistry
Nitrophenols - isolation & purification
p-nitrophenol
Pollution
Temperature
Wastewaters
Water Purification - methods
Water treatment and pollution
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Summary:Three series of batch tests at 25°C were performed to determine the benzoic acid and p-nitrophenol (PNP) binary adsorption isotherms onto GAC in the aqueous solutions and the experimental data were fitted to the extended Langmuir isotherm model successfully. The experimental data and the isotherm model parameters showed that the GAC used in this study had a higher affinity to PNP than benzoic acid. Three column tests were performed to determine the breakthrough curves and effluent solution pH with varying feed compositions. According to the experimental results, the weakly adsorbed BA exhibited an intermediate zone of effluent concentration higher than its feed one; the effluent solution pH could serve as a good indicator for breakthrough. The breakthrough curves with varying feed compositions could be predicted by the non-linear wave propagation theory satisfactorily. Only the adsorption isotherm models were required to construct the composition path diagram with which the breakthrough curves could be predicted.
ISSN:0043-1354
1879-2448
DOI:10.1016/S0043-1354(03)00038-1