Diclofenac removal from water by adsorption using activated carbon in batch mode and fixed-bed column: Isotherms, thermodynamic study and breakthrough curves modeling

Diclofenac removal from water by adsorption using activated carbon in batch mode and fixed-bed... The presence of pharmaceutical compounds in the environment has been considered an emerging concern. Diclofenac has the highest acute toxicity among the non-steroidal anti-inflammatory drugs and it has been frequently detected in surface waters and wastewater treatment plants. Adsorption has been widely used to remove emerging contaminants such as pharmaceutical compounds from water sources and wastewaters. In this work, diclofenac adsorption was studied using activated carbon as adsorbent in batch process and fixed-bed column. Adsorption isotherms were determined through batch adsorption experiments, while fixed-bed adsorption was evaluated through a full factorial two-level experimental design involving three variables: initial pollutant concentration (20 – 100 mg L-1), weight of adsorbent (0.5 – 1.0 g) and volumetric feed flow rate (3 – 5 mL min−1). Adsorption equilibrium was investigated in different temperatures revealed that the Freundlich equation is suitable to describe the isotherms behavior in 298, 308 and 318 K. Thermodynamic analysis revealed negative ΔG0 and both positive ΔH0 and ΔS0, which indicated that diclofenac adsorption onto activated carbon is higher at higher temperatures and it is a spontaneous process. Breakthrough time, the time when 5% of initial concentration is detected in the effluent, was at higher initial concentration and lower flow rate. Fractional bed utilization increased with the increase of the initial concentration and flow rate, but decreased with higher amount of activated carbon. Breakthrough curves experimental data were fitted using Thomas, Bohart-Adams and Yan analytical models. Yan model showed the highest average of the determination coefficients (R² = 0.9842) of all experiments while the amounts adsorbed by the packed column were better predicted by Thomas equation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Cleaner Production Elsevier

Diclofenac removal from water by adsorption using activated carbon in batch mode and fixed-bed column: Isotherms, thermodynamic study and breakthrough curves modeling

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0959-6526
D.O.I.
10.1016/j.jclepro.2018.01.138
Publisher site
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Abstract

The presence of pharmaceutical compounds in the environment has been considered an emerging concern. Diclofenac has the highest acute toxicity among the non-steroidal anti-inflammatory drugs and it has been frequently detected in surface waters and wastewater treatment plants. Adsorption has been widely used to remove emerging contaminants such as pharmaceutical compounds from water sources and wastewaters. In this work, diclofenac adsorption was studied using activated carbon as adsorbent in batch process and fixed-bed column. Adsorption isotherms were determined through batch adsorption experiments, while fixed-bed adsorption was evaluated through a full factorial two-level experimental design involving three variables: initial pollutant concentration (20 – 100 mg L-1), weight of adsorbent (0.5 – 1.0 g) and volumetric feed flow rate (3 – 5 mL min−1). Adsorption equilibrium was investigated in different temperatures revealed that the Freundlich equation is suitable to describe the isotherms behavior in 298, 308 and 318 K. Thermodynamic analysis revealed negative ΔG0 and both positive ΔH0 and ΔS0, which indicated that diclofenac adsorption onto activated carbon is higher at higher temperatures and it is a spontaneous process. Breakthrough time, the time when 5% of initial concentration is detected in the effluent, was at higher initial concentration and lower flow rate. Fractional bed utilization increased with the increase of the initial concentration and flow rate, but decreased with higher amount of activated carbon. Breakthrough curves experimental data were fitted using Thomas, Bohart-Adams and Yan analytical models. Yan model showed the highest average of the determination coefficients (R² = 0.9842) of all experiments while the amounts adsorbed by the packed column were better predicted by Thomas equation.

Journal

Journal of Cleaner ProductionElsevier

Published: Apr 20, 2018

References

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