Prediction of chlorophenols adsorption on activated carbons by representative pores method

The specification of a particular activated carbon adsorbents for removal of phenol and related derivatives, from dilute aqueous solutions, is still based on lengthy trial and error experimental tests. A predictive model of adsorption of these compounds would considerably reduce the carbon selection...

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Bibliographic Details
Published in:Environmental science and pollution research international 2022-11, Vol.29 (53), p.79866-79874
Main Authors: de Oliveira, José Carlos Alexandre, Rodrigues, Paulo Ricardo Moura, de Lucena, Sebastião Mardônio Pereira
Format: Article
Language:English
Subjects:
Activated carbon
Adsorption
Adsorption (and Catalysis or Photocatalysis) Applied to Environmental Protection
Aquatic Pollution
Aqueous solutions
Atmospheric Protection/Air Quality Control/Air Pollution
Carbon
Chemical synthesis
Chlorophenol
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Isotherms
Low concentrations
p-Chlorophenol
Phenols
Pollutants
Pore size
Pores
Prediction models
Simulation
Waste Water Technology
Water Management
Water Pollution Control
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Summary:The specification of a particular activated carbon adsorbents for removal of phenol and related derivatives, from dilute aqueous solutions, is still based on lengthy trial and error experimental tests. A predictive model of adsorption of these compounds would considerably reduce the carbon selection time and could also bring new information to support more efficient carbon synthesis. The use of molecular simulation and the methodology of representative pores proved to be adequate for quantitative prediction of phenol adsorption. Here the methodology is being extended to chlorophenols, an important class of phenol-derived pollutants. A set of ortho- and para-chlorophenol isotherms were simulated for different representative pores in order to predict carbon adsorption and determine the most significative pore size. At low concentrations (1 × 10 −4  mol/L), the pores of 8.9 and 18.5 Å are the most effective. For concentrations above 3 × 10 −4  mol/L, pores in the range of 27.9 Å must be present in the activated carbon. The simulation predicts a step for the 27.9 Å pore that can be correlated with experimental steps in literature. Finally, the adsorption isotherms of chlorophenols for other activated carbons were predicted with the help of the model.
ISSN:0944-1344
1614-7499
1614-7499
DOI:10.1007/s11356-022-18571-x