4.7 Article

Acridine orange adsorption by zinc oxide/almond shell activated carbon composite: Operational factors, mechanism and performance optimization using central composite design and surface modeling

期刊

JOURNAL OF ENVIRONMENTAL MANAGEMENT
卷 206, 期 -, 页码 383-397

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2017.10.058

关键词

Zinc oxide; Activated carbon; Response surface methodology; Adsorption mechanism; Regeneration; Wastewater pollutant

资金

  1. University of Ibn Zohr faculty of sciences
  2. Moroccan foundation for Advanced Science, Innovation and Research (Mascir)

向作者/读者索取更多资源

Zinc Oxide/Activated Carbon Powder was used for the adsorptive removal of Acridine Orange dye (AO) from aqueous solution. The prepared composite material was characterized using XRD, XPS, SEM, EDS, FTIR, XRF, Raman, BET surface area and TGA/DTA. The adsorption isotherms, kinetics and thermodynamic studies of AO onto the ZnO-AC were thoroughly analyzed. The kinetic modeling data revealed that the adsorption of AO has a good adjustment to the pseudo-second-order model. Langmuir isotherm model is better fitted for adsorption data and the maximum adsorption capacity was found to be 909.1 mg/g at 313 K. The negative values of Delta G showed the spontaneous nature of the AO adsorption onto ZnO-AC. The results indicated the adsorption was pH dependent which is mainly governed by electrostatic attraction, hydrogen bonding and it pi-pi interaction. Reusability test showed a low decrease in the removal performance of ZnO-AC due to the mesopore filling mechanism confirmed by BET analysis after adsorption. Also, thermal regeneration could deposit AO dye on the surface of the composite leading to the efficiency decrease. Finally, the effect of various parameters such as pH, temperature, contact time and initial dye concentration was studied using response surface methodology (RSM). The model predicted a maximum AO removal (99.42 +/- 0.57%) under the optimum conditions, which was very close to the experimental value (99.32 +/- 0.18%). (C) 2017 Elsevier Ltd. All rights reserved.

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