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Related Experiment Videos

Three-component competitive adsorption model for flow-through PAC systems. 1. Model development and verification with

Qilin Li1, Benito J Mariñas, Vernon L Snoeyink

  • 1Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Avenue, Urbana, Illinois 61801, USA.

Environmental Science & Technology
|July 24, 2003
PubMed
Summary

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Natural organic matter (NOM) hinders trace organic removal by powdered activated carbon (PAC) through pore blockage and competition. A new dynamic model quantifies this interference in flow-through systems, improving predictions for water treatment.

Area of Science:

  • Environmental Chemistry
  • Water Treatment Technologies
  • Adsorption Science

Background:

  • Natural organic matter (NOM) significantly impacts the efficiency of powdered activated carbon (PAC) in removing trace organic compounds.
  • NOM interferes by blocking pores and competing for adsorption sites, reducing the capacity and diffusion of target contaminants.
  • This competitive effect is amplified in flow-through systems due to continuous NOM adsorption on retained PAC.

Purpose of the Study:

  • To develop a dynamic three-component adsorption model for quantitatively describing trace compound removal in flow-through PAC systems.
  • To simulate the competitive and pore-blocking effects of NOM using model compounds: p-dichlorobenzene (p-DCB) for competition and poly(styrene sulfonate) (PSS-1.8k) for pore blockage.
  • To verify the model's predictive capability using experimental data from a PAC/microfiltration (MF) system.

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Main Methods:

  • Development of a dynamic adsorption model based on homogeneous surface diffusion.
  • Incorporation of a simplified ideal adsorbed solution theory model to adjust atrazine adsorption capacity.
  • Modeling surface diffusion coefficients as a function of pore-blocking compound concentration (PSS-1.8k).
  • Experimental validation using a PAC/microfiltration system with atrazine, p-DCB, and PSS-1.8k.

Main Results:

  • The dynamic model accurately predicted the adsorption of atrazine and model compounds under typical PAC/MF operating conditions.
  • Single-solute adsorption parameters from batch tests were sufficient for good model predictions.
  • The model successfully quantified the combined effects of competition and pore blockage by NOM fractions.

Conclusions:

  • The developed dynamic adsorption model provides a robust framework for understanding and predicting trace organic removal in PAC systems with NOM interference.
  • The model's accuracy in simulating complex interactions highlights its utility for optimizing water treatment processes.
  • Future work will involve applying the model to various operating conditions and PAC/membrane system parameters.